import pandas as pd

Lesson Video:

This article is also a Jupyter Notebook available to be run from the top down. There will be code snippets that you can then run in any environment.

Below are the versions of fastai, fastcore, wwf, fastaudio, and torchaudio currently running at the time of writing this:

  • fastai : 2.1.5
  • fastcore : 1.3.4
  • wwf : 0.0.16
  • fastaudio : 0.1.3
  • torchaudio : 0.9.0

(Largely based on rbracco's tutorial, big thanks to him for his work on getting this going for us!)

fastai's audio module has been in development for a while by active forum members:

What makes Audio different?

While it is possible to train on raw audio (we simply pass in a 1D tensor of the signal), what is done now is to convert the audio to what is called a spectrogram to train on.

Free Digit Dataset

Essentially the audio version of MNIST, it contains 2,000 recordings from 10 speakers saying each digit 5 times. First, we'll grab the data and use a custom extract function:

import pkg_resources
def placeholder(x):
    raise pkg_resources.DistributionNotFound
pkg_resources.get_distribution = placeholder
import fastai
import fastaudio
from fastai.vision.all import *
from fastaudio.core.all import *
from fastaudio.augment.all import *

tar_extract_at_filename simply extracts at the file name (as the name suggests)

path_dig = untar_data(URLs.SPEAKERS10, extract_func=tar_extract_at_filename)

Now we want to grab just the audio files.

audio_extensions[:5]

('.m3u', '.ram', '.au', '.snd', '.mp3')
fnames = get_files(path_dig, extensions=audio_extensions)

fnames[:5]

(#5) [Path('/root/.fastai/data/ST-AEDS-20180100_1-OS/f0004_us_f0004_00268.wav'),Path('/root/.fastai/data/ST-AEDS-20180100_1-OS/f0004_us_f0004_00111.wav'),Path('/root/.fastai/data/ST-AEDS-20180100_1-OS/m0003_us_m0003_00309.wav'),Path('/root/.fastai/data/ST-AEDS-20180100_1-OS/f0003_us_f0003_00255.wav'),Path('/root/.fastai/data/ST-AEDS-20180100_1-OS/f0002_us_f0002_00334.wav')]

We can convert any audio file to a tensor with AudioTensor. Let's try opening a file:

at = AudioTensor.create(fnames[0])

at, at.shape

(AudioTensor([[0.0000, 0.0000, 0.0000,  ..., 0.0002, 0.0002, 0.0003]]),
 torch.Size([1, 75520]))
at.show()

<matplotlib.axes._subplots.AxesSubplot at 0x7f0e0419edd8>

Preparing the dataset

fastai_audio has a AudioConfig class which allows us to prepare different settings for our dataset. Currently it has:

  • BasicMelSpectrogram
  • BasicMFCC
  • BasicSpectrogram
  • Voice

We'll be using the Voice module today, as this dataset just contains human voices.

cfg = AudioConfig.Voice()

Our configuration will limit options like the frequency range and the sampling rate

cfg.f_max, cfg.sample_rate

(8000.0, 16000)

We can then make a transform from this configuration to turn raw audio into a workable spectrogram per our settings:

aud2spec = AudioToSpec.from_cfg(cfg)

For our example, we'll crop out the original audio file to 1000 ms

crop1s = ResizeSignal(1000)

Let's build a Pipeline how we'd expect our data to come in

pipe = Pipeline([AudioTensor.create, crop1s, aud2spec])

And try visualizing what our newly made data becomes.

First, we'll remove that cropping:

pipe = Pipeline([AudioTensor.create, aud2spec])

for fn in fnames[:3]:
  audio = AudioTensor.create(fn)
  audio.show()
  pipe(fn).show()

/usr/local/lib/python3.6/dist-packages/torch/functional.py:516: UserWarning: stft will require the return_complex parameter be explicitly  specified in a future PyTorch release. Use return_complex=False  to preserve the current behavior or return_complex=True to return  a complex output. (Triggered internally at  /pytorch/aten/src/ATen/native/SpectralOps.cpp:653.)
  normalized, onesided, return_complex)
/usr/local/lib/python3.6/dist-packages/torch/functional.py:516: UserWarning: The function torch.rfft is deprecated and will be removed in a future PyTorch release. Use the new torch.fft module functions, instead, by importing torch.fft and calling torch.fft.fft or torch.fft.rfft. (Triggered internally at  /pytorch/aten/src/ATen/native/SpectralOps.cpp:590.)
  normalized, onesided, return_complex)

You can see that they're not all the same size here. Let's add that cropping back in:

pipe = Pipeline([AudioTensor.create, crop1s, aud2spec])

for fn in fnames[:3]:
  audio = AudioTensor.create(fn)
  audio.show()
  pipe(fn).show()

And now everythign is 128x63

Using the DataBlock API:

  • We'll want to use our same transforms we used for the Pipeline
  • An appropriate getter
  • An appropriate labeller

For our transforms, we'll want the same ones we used before

item_tfms = [ResizeSignal(1000), aud2spec]

Our filenames are labelled by the number followed by the name of the individual:

  • 4_theo_37.wav
  • 2_nicolas_7.wav
get_y = lambda x: x.name[0]

aud_digit = DataBlock(blocks=(AudioBlock, CategoryBlock),  
                 get_items=get_audio_files, 
                 splitter=RandomSplitter(),
                 item_tfms = item_tfms,
                 get_y=get_y)

And now we can build our DataLoaders

dls = aud_digit.dataloaders(path_dig, bs=64)

Let's look at a batch

dls.show_batch(max_n=3)

Training

Now that we have our Dataloaders, we need to make a model. We'll make a function that changes a Learner's first layer to accept a 1 channel input (similar to how we did for the Bengali.AI model)

def alter_learner(learn, n_channels=1):
  "Adjust a `Learner`'s model to accept `1` channel"
  layer = learn.model[0][0]
  layer.in_channels=n_channels
  layer.weight = nn.Parameter(layer.weight[:,1,:,:].unsqueeze(1))
  learn.model[0][0] = layer

learn = Learner(dls, xresnet18(), CrossEntropyLossFlat(), metrics=accuracy)

Now we need to grab our number of channels:

n_c = dls.one_batch()[0].shape[1]; n_c

1
alter_learner(learn, n_c)

Now we can find our learning rate and fit!

learn.lr_find()

SuggestedLRs(lr_min=0.03019951581954956, lr_steep=0.0030199517495930195)
learn.fit_one_cycle(5, 1e-2)
epoch train_loss valid_loss accuracy time
0 1.161456 0.916622 0.861979 00:20
1 0.405886 0.429746 0.815104 00:20
2 0.190736 0.975245 0.850260 00:20
3 0.094304 0.052621 0.983073 00:20
4 0.049124 0.023142 0.990885 00:20 
learn.fit_one_cycle(5, 1e-3)
epoch train_loss valid_loss accuracy time
0 0.030099 0.034156 0.986979 00:11
1 0.031116 0.021291 0.996094 00:12
2 0.032417 0.017661 0.997396 00:11
3 0.025745 0.017490 0.994792 00:11
4 0.022410 0.016554 0.997396 00:11

Not bad for zero data augmentation! But let's see if augmentation can help us out here!

Data Augmentation

We can use the SpectrogramTransformer class to prepare some transforms for us

DBMelSpec = SpectrogramTransformer(mel=True, to_db=True)

Let's take a look at our original settings:

aud2spec.settings

{'mel': 'True',
 'to_db': 'False',
 'sample_rate': 16000,
 'n_fft': 1024,
 'win_length': 1024,
 'hop_length': 128,
 'f_min': 50.0,
 'f_max': 8000.0,
 'pad': 0,
 'n_mels': 128,
 'window_fn': <function _VariableFunctionsClass.hann_window>,
 'power': 2.0,
 'normalized': False,
 'wkwargs': None,
 'stype': 'power',
 'top_db': None,
 'sr': 16000,
 'nchannels': 1}

And we'll narrow this down a bit

aud2spec = DBMelSpec(n_mels=128, f_max=10000, n_fft=1024, hop_length=128, top_db=100)

For our transforms, we'll use:

  • RemoveSilence
    • Splits a signal at points of silence more than 2 * pad_ms (default is 20)
  • CropSignal
    • Crops a signal by duration and adds padding if needed
  • aud2spec
    • Our SpectrogramTransformer with parameters
  • MaskTime
    • Wrapper for MaskFre, which applies einsum operations
  • MaskFreq

Let's look a bit more at the padding CropSignal uses:

There are three different types:

  • AudioPadTypes.Zeros: The default, random zeros before and after
  • AudioPadType.Repeat: Repeat the signal until proper length (great for coustic scene classification and voice recognition, terrible for speech recognition)
  • AudioPadtype.ZerosAfter: This is the default for many other libraries, just pad with zeros until you get the specified length.

Now let's rebuild our DataBlock:

item_tfms = [RemoveSilence(), ResizeSignal(1000), aud2spec, MaskTime(size=4), MaskFreq(size=10)]

aud_digit = DataBlock(blocks=(AudioBlock, CategoryBlock),  
                 get_items=get_audio_files, 
                 splitter=RandomSplitter(),
                 item_tfms = item_tfms,
                 get_y=get_y)

dls = aud_digit.dataloaders(path_dig, bs=128)

Let's look at some augmented data:

dls.show_batch(max_n=3)

Let's try training again. Also, since we have to keep making an adustment to our model, let's make an audio_learner function similar to cnn_learner:

def audio_learner(dls, arch, loss_func, metrics):
  "Prepares a `Learner` for audio processing"
  learn = Learner(dls, arch, loss_func, metrics=metrics)
  n_c = dls.one_batch()[0].shape[1]
  if n_c == 1: alter_learner(learn)
  return learn

learn = audio_learner(dls, xresnet18(), CrossEntropyLossFlat(), accuracy)

learn.lr_find()

SuggestedLRs(lr_min=0.04365158379077912, lr_steep=0.002511886414140463)
learn.fit_one_cycle(10, 3e-3)
epoch train_loss valid_loss accuracy time
0 4.650460 1.274344 0.776042 00:17
1 1.882244 0.165905 0.928385 00:17
2 0.958342 0.023563 0.993490 00:17
3 0.537469 0.020922 0.994792 00:17
4 0.317845 0.012210 0.996094 00:17
5 0.193368 0.030548 0.990885 00:17
6 0.118598 0.014498 0.996094 00:17
7 0.074519 0.002216 1.000000 00:17
8 0.047171 0.003482 1.000000 00:17
9 0.030317 0.002047 1.000000 00:17 
learn.fit_one_cycle(10, 3e-4)
epoch train_loss valid_loss accuracy time
0 0.003665 0.003438 1.000000 00:17
1 0.004991 0.003278 1.000000 00:17
2 0.005746 0.017678 0.997396 00:17
3 0.005073 0.002702 0.998698 00:17
4 0.003955 0.002549 1.000000 00:17
5 0.003551 0.001628 1.000000 00:17
6 0.003751 0.001688 1.000000 00:17
7 0.003312 0.003636 0.998698 00:17
8 0.003430 0.003046 1.000000 00:17
9 0.003002 0.002288 1.000000 00:17

With the help of some of our data augmentation, we were able to perform a bit higher!

Mel Frequency Cepstral Coefficient (MFCC)

Now let's look at that MFCC option we said earlier. MFCC's are a "linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency" - Wikipedia. But what does that mean?

Let's try it out!

aud2mfcc = AudioToMFCC(n_mfcc=40, melkwargs={'n_fft':2048, 'hop_length':256,
                                             'n_mels':128})

item_tfms = [ResizeSignal(1000), aud2mfcc]

There's a shortcut for replacing the item transforms in a DataBlock:

aud_digit.item_tfms

(#8) [ToTensor:
encodes: (PILMask,object) -> encodes
(PILBase,object) -> encodes
decodes: ,Resample:
encodes: (AudioTensor,object) -> encodes
decodes: ,DownmixMono:
encodes: (AudioTensor,object) -> encodes
decodes: ,RemoveSilence:
encodes: (AudioTensor,object) -> encodes
decodes: ,ResizeSignal:
encodes: (AudioTensor,object) -> encodes
decodes: ,AudioToSpec:
encodes: (AudioTensor,object) -> encodes
decodes: ,MaskTime:
encodes: (AudioSpectrogram,object) -> encodes
decodes: ,MaskFreq:
encodes: (AudioSpectrogram,object) -> encodes
decodes: ]
aud_digit.item_tfms = item_tfms

dls = aud_digit.dataloaders(path_dig, bs=128)

dls.show_batch(max_n=3)

Now let's build our learner and train again!

learn = audio_learner(dls, xresnet18(), CrossEntropyLossFlat(), accuracy)

learn.lr_find()

SuggestedLRs(lr_min=0.07585775852203369, lr_steep=0.0020892962347716093)
learn.fit_one_cycle(5, 1e-2)
epoch train_loss valid_loss accuracy time
0 1.969720 1.324741 0.812500 00:09
1 0.805437 0.774530 0.738281 00:09
2 0.427395 0.071427 0.970052 00:09
3 0.251631 0.052916 0.980469 00:09
4 0.156765 0.026019 0.989583 00:09

Now we can begin to see why choosing your augmentation is important!

MFCC + Delta:

The last transform we'll discuss is the Delta transform:

Local estimate of the derivative of the input data along the selected axis.

This allows multiple-channeled inputs from one signal

item_tfms = [ResizeSignal(1000), aud2mfcc, Delta()]

aud_digit.item_tfms = item_tfms

dls = aud_digit.dataloaders(path_dig, bs=128)

dls.show_batch(max_n=3)

Let's try training one more time:

learn = audio_learner(dls, xresnet18(), CrossEntropyLossFlat(), accuracy)

learn.lr_find()

SuggestedLRs(lr_min=0.15848932266235352, lr_steep=0.0014454397605732083)
learn.fit_one_cycle(5, 1e-2)
epoch train_loss valid_loss accuracy time
0 1.581891 0.626583 0.882812 00:13
1 0.678377 0.197535 0.912760 00:13
2 0.367090 0.094837 0.962240 00:13
3 0.220476 0.022505 0.992188 00:13
4 0.141336 0.033642 0.988281 00:13

Let's try fitting for a few more:

learn.fit_one_cycle(5, 1e-2/10)
epoch train_loss valid_loss accuracy time
0 0.029490 0.022874 0.993490 00:13
1 0.027482 0.022706 0.992188 00:13
2 0.025360 0.015615 0.994792 00:13
3 0.026397 0.026350 0.990885 00:13
4 0.027179 0.022311 0.993490 00:13 
import pandas as pd

data = pd.read_csv("comma labels.csv", index_col='path')

data
pattern kana syl drop
path
ある.yomi000142BB_0596.mp3 頭高 アル 2 1
ある.yomi000142BB_0596.mp3 頭高 アル 2 1
思う.yomi0006C617_043A.mp3 中高 オモウ 3 2
など.yomi000240B7_0028.mp3 頭高 ナド 2 1
私.yomi00092F63_0072.mp3 平板 ワタくシ 4 0
... ... ... ... ...
くも膜下出血_蜘蛛膜下出血.yomi0001AAD1_0622.mp3 中高 クモマッカしュッケツ 10 6
捜す.yomi00072507_0088.mp3 平板 サカ゚ス 4 0
捜し物.yomi000724FD_0424.mp3 平板 サカ゚シモノ 6 0
あこや貝_阿古屋貝.yomi00013767_0114.mp3 中高 アコヤカ゚イ 6 3
あこや貝_阿古屋貝.yomi00013767_0114.mp3 中高 アコヤカ゚イ 6 3

74191 rows × 4 columns

data.loc['１すくい_一掬い.yomi000120BB_01C8.mp3']
pattern kana syl drop
path
１すくい_一掬い.yomi000120BB_01C8.mp3 中高 ひトすクイ 5 2
１すくい_一掬い.yomi000120BB_01C8.mp3 中高 ひトすクイ 5 2 
data.loc['出し抜く.yomi0004BDF8_06F2.mp3']

pattern      平板
kana       ダシヌク
syl           4
drop          0
Name: 出し抜く.yomi0004BDF8_06F2.mp3, dtype: object
data.loc['ある.yomi000142BB_0596.mp3']
pattern kana syl drop
path
ある.yomi000142BB_0596.mp3 頭高 アル 2 1
ある.yomi000142BB_0596.mp3 頭高 アル 2 1 
from google.colab import drive
drive.mount('/content/drive')

Mounted at /content/drive

path = Path('/content/drive/MyDrive')

path = path / '1000sample'

at = AudioTensor.create(path.ls()[0])

at.show()

<matplotlib.axes._subplots.AxesSubplot at 0x7f7a5b38aed0>
cfg = AudioConfig.Voice()

aud2spec = AudioToSpec.from_cfg(cfg)

aud2spec(at).show()

<matplotlib.axes._subplots.AxesSubplot at 0x7f7a5b50f950>
crop2s = ResizeSignal(2000)

crop2s(at).show()

<matplotlib.axes._subplots.AxesSubplot at 0x7f7a5b50f5d0>
pipe = Pipeline([AudioTensor.create, crop2s, aud2spec])

for i in range(5):
  pipe(path.ls()[i]).show()

 

data.loc['ある.yomi000142BB_0596.mp3']['pattern']

'頭高'
data.reset_index()[data.reset_index().duplicated(keep=False)].to_csv('duplicates.csv')

data[data.index.duplicated(keep=False)].to_csv('path_dup.csv')

data.duplicated().sum()

15695
data.reset_index()
path pattern kana syl drop
0 ある.yomi000142BB_0596.mp3 頭高 アル 2 1
1 ある.yomi000142BB_0596.mp3 頭高 アル 2 1
2 思う.yomi0006C617_043A.mp3 中高 オモウ 3 2
3 など.yomi000240B7_0028.mp3 頭高 ナド 2 1
4 私.yomi00092F63_0072.mp3 平板 ワタくシ 4 0
... ... ... ... ... ...
74186 くも膜下出血_蜘蛛膜下出血.yomi0001AAD1_0622.mp3 中高 クモマッカしュッケツ 10 6
74187 捜す.yomi00072507_0088.mp3 平板 サカ゚ス 4 0
74188 捜し物.yomi000724FD_0424.mp3 平板 サカ゚シモノ 6 0
74189 あこや貝_阿古屋貝.yomi00013767_0114.mp3 中高 アコヤカ゚イ 6 3
74190 あこや貝_阿古屋貝.yomi00013767_0114.mp3 中高 アコヤカ゚イ 6 3

74191 rows × 5 columns

data = data.reset_index()

removing complete duplicates

data = data[-data.duplicated()]

data.to_csv('labels complete duplicates removed.csv')

duplicate labels

data.duplicated(subset=['path'], keep=False).sum()

687
data = data[-data.duplicated(subset=['path'], keep=False)]

data.to_csv('labels_no_duplicates.csv')

sr = data[data.path == '捜す.yomi00072507_0088.mp3']['pattern'].values[0]

sr.values[0]

'平板'
item_tfms = [ResizeSignal(1000), aud2spec]

def get_label(fn):
  return data[data.path == fn]['pattern'].values[0]

audpitch = DataBlock(blocks=(AudioBlock, CategoryBlock),  
                 get_items=get_audio_files, 
                 splitter=RandomSplitter(),
                 item_tfms = [crop2s, aud2spec],
                 get_y=using_attr(get_label, 'name'))

dls = audpitch.dataloaders(path, bs=64)

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-135-1cbbd94c9ec2> in <module>()
----> 1 dls = audpitch.dataloaders(path, bs=64)

/usr/local/lib/python3.7/dist-packages/fastai/data/block.py in dataloaders(self, source, path, verbose, **kwargs)
    111 
    112     def dataloaders(self, source, path='.', verbose=False, **kwargs):
--> 113         dsets = self.datasets(source)
    114         kwargs = {**self.dls_kwargs, **kwargs, 'verbose': verbose}
    115         return dsets.dataloaders(path=path, after_item=self.item_tfms, after_batch=self.batch_tfms, **kwargs)

/usr/local/lib/python3.7/dist-packages/fastai/data/block.py in datasets(self, source, verbose)
    108         splits = (self.splitter or RandomSplitter())(items)
    109         pv(f"{len(splits)} datasets of sizes {','.join([str(len(s)) for s in splits])}", verbose)
--> 110         return Datasets(items, tfms=self._combine_type_tfms(), splits=splits, dl_type=self.dl_type, n_inp=self.n_inp, verbose=verbose)
    111 
    112     def dataloaders(self, source, path='.', verbose=False, **kwargs):

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in __init__(self, items, tfms, tls, n_inp, dl_type, **kwargs)
    308     def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
    309         super().__init__(dl_type=dl_type)
--> 310         self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
    311         self.n_inp = ifnone(n_inp, max(1, len(self.tls)-1))
    312 

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in <listcomp>(.0)
    308     def __init__(self, items=None, tfms=None, tls=None, n_inp=None, dl_type=None, **kwargs):
    309         super().__init__(dl_type=dl_type)
--> 310         self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
    311         self.n_inp = ifnone(n_inp, max(1, len(self.tls)-1))
    312 

/usr/local/lib/python3.7/dist-packages/fastcore/foundation.py in __call__(cls, x, *args, **kwargs)
    161     def __call__(cls, x=None, *args, **kwargs):
    162         if not args and not kwargs and x is not None and isinstance(x,cls): return x
--> 163         return super().__call__(x, *args, **kwargs)
    164 
    165 # Cell

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in __init__(self, items, tfms, use_list, do_setup, split_idx, train_setup, splits, types, verbose, dl_type)
    234         if do_setup:
    235             pv(f"Setting up {self.tfms}", verbose)
--> 236             self.setup(train_setup=train_setup)
    237 
    238     def _new(self, items, split_idx=None, **kwargs):

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in setup(self, train_setup)
    250 
    251     def setup(self, train_setup=True):
--> 252         self.tfms.setup(self, train_setup)
    253         if len(self) != 0:
    254             x = super().__getitem__(0) if self.splits is None else super().__getitem__(self.splits[0])[0]

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in setup(self, items, train_setup)
    190         tfms = self.fs[:]
    191         self.fs.clear()
--> 192         for t in tfms: self.add(t,items, train_setup)
    193 
    194     def add(self,t, items=None, train_setup=False):

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in add(self, t, items, train_setup)
    193 
    194     def add(self,t, items=None, train_setup=False):
--> 195         t.setup(items, train_setup)
    196         self.fs.append(t)
    197 

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in setup(self, items, train_setup)
     77     def setup(self, items=None, train_setup=False):
     78         train_setup = train_setup if self.train_setup is None else self.train_setup
---> 79         return self.setups(getattr(items, 'train', items) if train_setup else items)
     80 
     81     def _call(self, fn, x, split_idx=None, **kwargs):

/usr/local/lib/python3.7/dist-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
    115         elif self.inst is not None: f = MethodType(f, self.inst)
    116         elif self.owner is not None: f = MethodType(f, self.owner)
--> 117         return f(*args, **kwargs)
    118 
    119     def __get__(self, inst, owner):

/usr/local/lib/python3.7/dist-packages/fastai/data/transforms.py in setups(self, dsets)
    236 
    237     def setups(self, dsets):
--> 238         if self.vocab is None and dsets is not None: self.vocab = CategoryMap(dsets, sort=self.sort, add_na=self.add_na)
    239         self.c = len(self.vocab)
    240 

/usr/local/lib/python3.7/dist-packages/fastai/data/transforms.py in __init__(self, col, sort, add_na, strict)
    212             if not hasattr(col,'unique'): col = L(col, use_list=True)
    213             # `o==o` is the generalized definition of non-NaN used by Pandas
--> 214             items = L(o for o in col.unique() if o==o)
    215             if sort: items = items.sorted()
    216         self.items = '#na#' + items if add_na else items

/usr/local/lib/python3.7/dist-packages/fastcore/foundation.py in unique(self)
    229         return self._new(filter_ex(self, f=f, negate=negate, gen=gen, **kwargs))
    230 
--> 231     def unique(self): return L(dict.fromkeys(self).keys())
    232     def enumerate(self): return L(enumerate(self))
    233     def renumerate(self): return L(renumerate(self))

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in <genexpr>(.0)
    242     def _after_item(self, o): return self.tfms(o)
    243     def __repr__(self): return f"{self.__class__.__name__}: {self.items}\ntfms - {self.tfms.fs}"
--> 244     def __iter__(self): return (self[i] for i in range(len(self)))
    245     def show(self, o, **kwargs): return self.tfms.show(o, **kwargs)
    246     def decode(self, o, **kwargs): return self.tfms.decode(o, **kwargs)

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in __getitem__(self, idx)
    278         res = super().__getitem__(idx)
    279         if self._after_item is None: return res
--> 280         return self._after_item(res) if is_indexer(idx) else res.map(self._after_item)
    281 
    282 # Cell

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in _after_item(self, o)
    240         return super()._new(items, tfms=self.tfms, do_setup=False, types=self.types, split_idx=split_idx, **kwargs)
    241     def subset(self, i): return self._new(self._get(self.splits[i]), split_idx=i)
--> 242     def _after_item(self, o): return self.tfms(o)
    243     def __repr__(self): return f"{self.__class__.__name__}: {self.items}\ntfms - {self.tfms.fs}"
    244     def __iter__(self): return (self[i] for i in range(len(self)))

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in __call__(self, o)
    196         self.fs.append(t)
    197 
--> 198     def __call__(self, o): return compose_tfms(o, tfms=self.fs, split_idx=self.split_idx)
    199     def __repr__(self): return f"Pipeline: {' -> '.join([f.name for f in self.fs if f.name != 'noop'])}"
    200     def __getitem__(self,i): return self.fs[i]

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in compose_tfms(x, tfms, is_enc, reverse, **kwargs)
    148     for f in tfms:
    149         if not is_enc: f = f.decode
--> 150         x = f(x, **kwargs)
    151     return x
    152 

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in __call__(self, x, **kwargs)
     71     @property
     72     def name(self): return getattr(self, '_name', _get_name(self))
---> 73     def __call__(self, x, **kwargs): return self._call('encodes', x, **kwargs)
     74     def decode  (self, x, **kwargs): return self._call('decodes', x, **kwargs)
     75     def __repr__(self): return f'{self.name}:\nencodes: {self.encodes}decodes: {self.decodes}'

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in _call(self, fn, x, split_idx, **kwargs)
     81     def _call(self, fn, x, split_idx=None, **kwargs):
     82         if split_idx!=self.split_idx and self.split_idx is not None: return x
---> 83         return self._do_call(getattr(self, fn), x, **kwargs)
     84 
     85     def _do_call(self, f, x, **kwargs):

/usr/local/lib/python3.7/dist-packages/fastcore/transform.py in _do_call(self, f, x, **kwargs)
     87             if f is None: return x
     88             ret = f.returns_none(x) if hasattr(f,'returns_none') else None
---> 89             return retain_type(f(x, **kwargs), x, ret)
     90         res = tuple(self._do_call(f, x_, **kwargs) for x_ in x)
     91         return retain_type(res, x)

/usr/local/lib/python3.7/dist-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
    115         elif self.inst is not None: f = MethodType(f, self.inst)
    116         elif self.owner is not None: f = MethodType(f, self.owner)
--> 117         return f(*args, **kwargs)
    118 
    119     def __get__(self, inst, owner):

/usr/local/lib/python3.7/dist-packages/fastcore/basics.py in _using_attr(f, attr, x)
    611 
    612 # Cell
--> 613 def _using_attr(f, attr, x): return f(getattr(x,attr))
    614 
    615 # Cell

<ipython-input-132-66b836f40139> in get_label(fn)
      1 def get_label(fn):
----> 2   return data[data.path == fn]['pattern'].values[0]

IndexError: index 0 is out of bounds for axis 0 with size 0
for fn in path.ls():
  print(fn)
  try:
    get_label(fn.name)
  except: fn.unlink()

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平板
/content/drive/MyDrive/1000sample/騒ぎ立てる.yomi000B8DBC_018C.mp3
/content/drive/MyDrive/1000sample/騒動.yomi000B8DEE_0682.mp3
頭高
/content/drive/MyDrive/1000sample/驚き入る.yomi000B8E80_0688.mp3
/content/drive/MyDrive/1000sample/驚かす.yomi000B8E49_014C.mp3
中高
/content/drive/MyDrive/1000sample/騒乱罪.yomi000B8DDC_011A.mp3
中高
/content/drive/MyDrive/1000sample/騒ぎだす.yomi000B8DB3_0238.mp3
/content/drive/MyDrive/1000sample/騒がしい.yomi000B8D9F_04FE.mp3
/content/drive/MyDrive/1000sample/騰写版.yomi000B8E25_075C.mp3
平板
/content/drive/MyDrive/1000sample/驚き.yomi000B8E6F_02A2.mp3
/content/drive/MyDrive/1000sample/驚く.yomi000B8E84_06D2.mp3
中高
/content/drive/MyDrive/1000sample/騰落.yomi000B8E38_074C.mp3
頭高
/content/drive/MyDrive/1000sample/騒ぐ.yomi000B8DC5_0440.mp3
/content/drive/MyDrive/1000sample/騰勢.yomi000B8E2F_0570.mp3
平板
/content/drive/MyDrive/1000sample/騒ぎ立てる.yomi000B8DC0_045E.mp3
/content/drive/MyDrive/1000sample/騒乱罪.yomi000B8DE5_021E.mp3
/content/drive/MyDrive/1000sample/験算.yomi000B8E0D_0168.mp3
平板
/content/drive/MyDrive/1000sample/驚き.yomi000B8E55_04B2.mp3
尾高
/content/drive/MyDrive/1000sample/騒がす.yomi000B8DA3_07D0.mp3
/content/drive/MyDrive/1000sample/驚き入る.yomi000B8E7C_03B6.mp3
中高
/content/drive/MyDrive/1000sample/騰写.yomi000B8E1D_07A0.mp3
平板
/content/drive/MyDrive/1000sample/騒ぎだす.yomi000B8DB7_035A.mp3
/content/drive/MyDrive/1000sample/騰貴.yomi000B8E41_0268.mp3
頭高
/content/drive/MyDrive/1000sample/騒ぎ.yomi000B8DAB_0504.mp3
/content/drive/MyDrive/1000sample/驚倒.yomi000B8E88_005C.mp3
平板
/content/drive/MyDrive/1000sample/騒音.yomi000B8DFB_0620.mp3
平板
/content/drive/MyDrive/1000sample/験.yomi000B8E04_064C.mp3
平板
/content/drive/MyDrive/1000sample/騒がれる.yomi000B8DA7_0592.mp3
/content/drive/MyDrive/1000sample/驚嘆.yomi000B8E98_025C.mp3
平板
/content/drive/MyDrive/1000sample/骨仕事.yomi000B8EEE_068C.mp3
中高
/content/drive/MyDrive/1000sample/骨っぽい.yomi000B8EBF_005E.mp3
/content/drive/MyDrive/1000sample/骨材.yomi000B8FA6_0774.mp3
平板
/content/drive/MyDrive/1000sample/骨太.yomi000B8F00_00FC.mp3
平板
/content/drive/MyDrive/1000sample/骨子.yomi000B8F08_0418.mp3
頭高
/content/drive/MyDrive/1000sample/骨材.yomi000B8FAF_01B8.mp3
/content/drive/MyDrive/1000sample/骨折り損.yomi000B8F37_045E.mp3
中高
/content/drive/MyDrive/1000sample/骨揚げ.yomi000B8F91_0194.mp3
/content/drive/MyDrive/1000sample/骨抜き.yomi000B8F52_02F8.mp3
平板
/content/drive/MyDrive/1000sample/骨接ぎ.yomi000B8F78_0264.mp3
/content/drive/MyDrive/1000sample/骨揚げ.yomi000B8F9C_0018.mp3
/content/drive/MyDrive/1000sample/驚喜.yomi000B8E90_07B0.mp3
頭高
/content/drive/MyDrive/1000sample/骨.yomi000B8EAE_02FE.mp3
尾高
/content/drive/MyDrive/1000sample/骨接ぎ.yomi000B8F84_0668.mp3
/content/drive/MyDrive/1000sample/骨折り損.yomi000B8F41_06AA.mp3
/content/drive/MyDrive/1000sample/驚異.yomi000B8EA7_0052.mp3
頭高
/content/drive/MyDrive/1000sample/骨つぼ_骨壺.yomi000B8EDE_03B4.mp3
/content/drive/MyDrive/1000sample/骨折る.yomi000B8F4C_052E.mp3
中高
/content/drive/MyDrive/1000sample/骨抜き.yomi000B8F5E_07D4.mp3
/content/drive/MyDrive/1000sample/骨折.yomi000B8F1E_03E2.mp3
平板
/content/drive/MyDrive/1000sample/骨休め.yomi000B8EF7_0280.mp3
中高
/content/drive/MyDrive/1000sample/骨折り.yomi000B8F27_0336.mp3
尾高
/content/drive/MyDrive/1000sample/骨.yomi000B8EB4_053A.mp3
尾高
/content/drive/MyDrive/1000sample/骨なし.yomi000B8EE6_01C0.mp3
平板
/content/drive/MyDrive/1000sample/骨柄.yomi000B8FB7_009C.mp3
平板
/content/drive/MyDrive/1000sample/骨張る.yomi000B8F10_0224.mp3
中高
/content/drive/MyDrive/1000sample/骨つぼ_骨壺.yomi000B8ED4_0678.mp3
/content/drive/MyDrive/1000sample/骨っ節.yomi000B8EC3_0180.mp3
平板
/content/drive/MyDrive/1000sample/骨接ぎ.yomi000B8F6B_04B0.mp3
/content/drive/MyDrive/1000sample/骨惜しみ.yomi000B8F15_0716.mp3
中高
/content/drive/MyDrive/1000sample/骨折り.yomi000B8F2F_04A2.mp3
/content/drive/MyDrive/1000sample/骨つぼ_骨壺.yomi000B8ECC_035C.mp3
/content/drive/MyDrive/1000sample/驚天動地.yomi000B8EA0_0140.mp3
中高
/content/drive/MyDrive/1000sample/骨格.yomi000B8FBF_02E0.mp3
平板
/content/drive/MyDrive/1000sample/骨膜炎.yomi000B9089_0780.mp3
/content/drive/MyDrive/1000sample/骨箱.yomi000B9006_04A8.mp3
/content/drive/MyDrive/1000sample/骨粗しょう症_骨粗鬆症.yomi000B9023_0024.mp3
/content/drive/MyDrive/1000sample/骨頂.yomi000B90AC_0388.mp3
平板
/content/drive/MyDrive/1000sample/骨膜炎.yomi000B9081_0104.mp3
中高
/content/drive/MyDrive/1000sample/骨箱.yomi000B8FFD_0704.mp3
平板
/content/drive/MyDrive/1000sample/骨相学.yomi000B8FF4_0018.mp3
中高
/content/drive/MyDrive/1000sample/骨膜.yomi000B9078_0510.mp3
/content/drive/MyDrive/1000sample/骨髄移植.yomi000B90D9_07C4.mp3
中高
/content/drive/MyDrive/1000sample/骨湯.yomi000B8FC8_030C.mp3
平板
/content/drive/MyDrive/1000sample/高.yomi000B90F5_02D0.mp3
/content/drive/MyDrive/1000sample/骨頂.yomi000B90B5_0564.mp3
/content/drive/MyDrive/1000sample/骨湯.yomi000B8FD0_03A0.mp3
/content/drive/MyDrive/1000sample/骨相.yomi000B8FE0_04C8.mp3
平板
/content/drive/MyDrive/1000sample/骨髄.yomi000B90C6_06FC.mp3
/content/drive/MyDrive/1000sample/骨身.yomi000B9093_030C.mp3
中高
/content/drive/MyDrive/1000sample/骨組み.yomi000B9030_0570.mp3
平板
/content/drive/MyDrive/1000sample/高.yomi000B90EB_0594.mp3
尾高
/content/drive/MyDrive/1000sample/骨身.yomi000B90A4_021C.mp3
/content/drive/MyDrive/1000sample/骨髄バンク.yomi000B90CF_04A0.mp3
/content/drive/MyDrive/1000sample/骨組み.yomi000B904D_0150.mp3
/content/drive/MyDrive/1000sample/骨粗しょう症_骨粗鬆症.yomi000B9017_0490.mp3
中高
/content/drive/MyDrive/1000sample/骨組み.yomi000B903D_03FC.mp3
/content/drive/MyDrive/1000sample/骨相.yomi000B8FEA_03B4.mp3
/content/drive/MyDrive/1000sample/骨節.yomi000B900F_0174.mp3
平板
/content/drive/MyDrive/1000sample/骨膜.yomi000B906F_076C.mp3
平板
/content/drive/MyDrive/1000sample/骨身.yomi000B909B_0700.mp3
/content/drive/MyDrive/1000sample/骨盤.yomi000B8FD7_07FC.mp3
平板
/content/drive/MyDrive/1000sample/骨髄.yomi000B90BE_0308.mp3
中高
/content/drive/MyDrive/1000sample/髄.yomi000B90E4_0570.mp3
頭高
/content/drive/MyDrive/1000sample/骨肉.yomi000B905A_00B4.mp3
平板
/content/drive/MyDrive/1000sample/骨肉しゅ_骨肉腫.yomi000B9062_0730.mp3
中高
/content/drive/MyDrive/1000sample/高い.yomi000B9116_051C.mp3
中高
/content/drive/MyDrive/1000sample/高いびき_高鼾.yomi000B9119_06A6.mp3
/content/drive/MyDrive/1000sample/高々指.yomi000B910C_07E0.mp3
中高
/content/drive/MyDrive/1000sample/高々と.yomi000B90FE_0584.mp3
中高
/content/drive/MyDrive/1000sample/高まい_高邁.yomi000B915E_0020.mp3
平板
/content/drive/MyDrive/1000sample/高じる.yomi000B914D_0470.mp3
/content/drive/MyDrive/1000sample/高じる.yomi000B9149_05D6.mp3
/content/drive/MyDrive/1000sample/高ぢょうちん_高提灯.yomi000B9150_07AA.mp3
/content/drive/MyDrive/1000sample/高げた_高下駄.yomi000B9127_05A2.mp3
/content/drive/MyDrive/1000sample/高さ.yomi000B9141_061A.mp3
頭高
/content/drive/MyDrive/1000sample/高まり.yomi000B9178_07CC.mp3
平板
/content/drive/MyDrive/1000sample/高ぶる.yomi000B9159_07D6.mp3
/content/drive/MyDrive/1000sample/高まき絵_高蒔絵.yomi000B9166_069C.mp3
中高
/content/drive/MyDrive/1000sample/高まり.yomi000B9186_0518.mp3
/content/drive/MyDrive/1000sample/高まくら_高枕.yomi000B916F_0368.mp3
中高
/content/drive/MyDrive/1000sample/高げた_高下駄.yomi000B9134_027E.mp3
/content/drive/MyDrive/1000sample/高利貸し.yomi000B9236_0008.mp3
中高
/content/drive/MyDrive/1000sample/高僧.yomi000B9207_0794.mp3
平板
/content/drive/MyDrive/1000sample/高冷地.yomi000B9210_0610.mp3
中高
/content/drive/MyDrive/1000sample/高台.yomi000B9247_00C8.mp3
平板
/content/drive/MyDrive/1000sample/高らかに.yomi000B91C5_06EA.mp3
中高
/content/drive/MyDrive/1000sample/高周波.yomi000B9261_00DC.mp3
中高
/content/drive/MyDrive/1000sample/高低.yomi000B91F1_00D0.mp3
/content/drive/MyDrive/1000sample/高ようじ_高楊枝.yomi000B91BC_00D6.mp3
/content/drive/MyDrive/1000sample/高低.yomi000B91E1_0590.mp3
/content/drive/MyDrive/1000sample/高分子化学.yomi000B9225_00F8.mp3
中高
/content/drive/MyDrive/1000sample/高名.yomi000B924F_030C.mp3
平板
/content/drive/MyDrive/1000sample/高分子化合物.yomi000B9219_0714.mp3
中高
/content/drive/MyDrive/1000sample/高め.yomi000B91AB_0376.mp3
平板
/content/drive/MyDrive/1000sample/高値.yomi000B9201_0048.mp3
中高
/content/drive/MyDrive/1000sample/高める.yomi000B91AF_0138.mp3
中高
/content/drive/MyDrive/1000sample/高み.yomi000B91A2_0272.mp3
/content/drive/MyDrive/1000sample/高ろく_高禄.yomi000B91C9_0734.mp3
平板
/content/drive/MyDrive/1000sample/高原.yomi000B923F_010C.mp3
平板
/content/drive/MyDrive/1000sample/高もも_高股.yomi000B91B3_00AA.mp3
平板
/content/drive/MyDrive/1000sample/高利.yomi000B922E_0634.mp3
頭高
/content/drive/MyDrive/1000sample/高下.yomi000B91D3_0470.mp3
頭高
/content/drive/MyDrive/1000sample/高低.yomi000B91E9_0474.mp3
/content/drive/MyDrive/1000sample/高まる.yomi000B9194_0774.mp3
中高
/content/drive/MyDrive/1000sample/高価.yomi000B91F9_0674.mp3
頭高
/content/drive/MyDrive/1000sample/高み.yomi000B9198_060E.mp3
平板
/content/drive/MyDrive/1000sample/高位.yomi000B91DA_056C.mp3
頭高
/content/drive/MyDrive/1000sample/高名.yomi000B9258_0410.mp3
/content/drive/MyDrive/1000sample/高官.yomi000B931B_02DE.mp3
平板
/content/drive/MyDrive/1000sample/高尚.yomi000B933C_0676.mp3
平板
/content/drive/MyDrive/1000sample/高層ビル.yomi000B934B_02F6.mp3
/content/drive/MyDrive/1000sample/高射砲.yomi000B9334_0432.mp3
/content/drive/MyDrive/1000sample/高天が原.yomi000B92E8_054A.mp3
/content/drive/MyDrive/1000sample/高圧.yomi000B928A_04F8.mp3
平板
/content/drive/MyDrive/1000sample/高峰.yomi000B937A_0662.mp3
平板
/content/drive/MyDrive/1000sample/高山病.yomi000B9371_01FE.mp3
平板
/content/drive/MyDrive/1000sample/高姿勢.yomi000B9300_025A.mp3
中高
/content/drive/MyDrive/1000sample/高塀.yomi000B92C3_0502.mp3
/content/drive/MyDrive/1000sample/高専.yomi000B9323_06D2.mp3
平板
/content/drive/MyDrive/1000sample/高塀.yomi000B92BA_05AE.mp3
中高
/content/drive/MyDrive/1000sample/高地.yomi000B92B3_073A.mp3
頭高
/content/drive/MyDrive/1000sample/高圧線.yomi000B92A1_02AA.mp3
平板
/content/drive/MyDrive/1000sample/高山.yomi000B9369_067A.mp3
頭高
/content/drive/MyDrive/1000sample/高学年.yomi000B9312_06EA.mp3
/content/drive/MyDrive/1000sample/高座.yomi000B939B_018A.mp3
頭高
/content/drive/MyDrive/1000sample/高層気象台.yomi000B9354_0172.mp3
平板
/content/drive/MyDrive/1000sample/高年者.yomi000B938C_0432.mp3
中高
/content/drive/MyDrive/1000sample/高射砲.yomi000B932B_068E.mp3
平板
/content/drive/MyDrive/1000sample/高圧部.yomi000B92AB_00BE.mp3
中高
/content/drive/MyDrive/1000sample/高声.yomi000B92D6_00BA.mp3
平板
/content/drive/MyDrive/1000sample/高圧帯.yomi000B9293_00EC.mp3
平板
/content/drive/MyDrive/1000sample/高土間.yomi000B927A_06CC.mp3
/content/drive/MyDrive/1000sample/高声.yomi000B92CC_06DE.mp3
平板
/content/drive/MyDrive/1000sample/高島田.yomi000B9384_003E.mp3
中高
/content/drive/MyDrive/1000sample/高圧的.yomi000B929C_0550.mp3
平板
/content/drive/MyDrive/1000sample/高層気象台.yomi000B935F_05DE.mp3
/content/drive/MyDrive/1000sample/高度.yomi000B9396_016E.mp3
頭高
/content/drive/MyDrive/1000sample/高層.yomi000B9342_0552.mp3
平板
/content/drive/MyDrive/1000sample/高天が原.yomi000B92F3_006E.mp3
/content/drive/MyDrive/1000sample/高土間.yomi000B926A_06F0.mp3
平板
/content/drive/MyDrive/1000sample/高声.yomi000B92DF_051E.mp3
/content/drive/MyDrive/1000sample/高学年.yomi000B930A_021E.mp3
中高
/content/drive/MyDrive/1000sample/高弟.yomi000B93A2_01AE.mp3
平板
/content/drive/MyDrive/1000sample/高張りぢょうちん_高張り提灯.yomi000B93C7_04E2.mp3
/content/drive/MyDrive/1000sample/高張り.yomi000B93AA_0092.mp3
平板
/content/drive/MyDrive/1000sample/高恩.yomi000B93E7_0436.mp3
平板
/content/drive/MyDrive/1000sample/高徳.yomi000B93D4_000E.mp3
平板
/content/drive/MyDrive/1000sample/高性能.yomi000B93DC_04DA.mp3
中高
/content/drive/MyDrive/1000sample/高慢.yomi000B93F8_05CE.mp3
/content/drive/MyDrive/1000sample/高慢ちき.yomi000B9401_00EA.mp3
平板
/content/drive/MyDrive/1000sample/高慢.yomi000B93EF_05A2.mp3
平板
/content/drive/MyDrive/1000sample/高張り.yomi000B93B9_01AE.mp3
/content/drive/MyDrive/1000sample/高鳴る.yomi000B97B5_04E6.mp3
中高
/content/drive/MyDrive/1000sample/高飛車.yomi000B9789_033E.mp3
平板
/content/drive/MyDrive/1000sample/高騰.yomi000B9792_0292.mp3
平板
/content/drive/MyDrive/1000sample/高飛び込み.yomi000B977F_001A.mp3
/content/drive/MyDrive/1000sample/高飛び.yomi000B9752_060E.mp3
/content/drive/MyDrive/1000sample/高飛び.yomi000B9771_0046.mp3
/content/drive/MyDrive/1000sample/高飛び.yomi000B9764_000A.mp3
/content/drive/MyDrive/1000sample/高音部.yomi000B9741_0626.mp3
中高
/content/drive/MyDrive/1000sample/高額.yomi000B974A_057A.mp3
平板
/content/drive/MyDrive/1000sample/高鳴り.yomi000B97A8_04AA.mp3
/content/drive/MyDrive/1000sample/高音.yomi000B9739_03E2.mp3
平板
/content/drive/MyDrive/1000sample/高鳴り.yomi000B979B_0396.mp3
尾高
/content/drive/MyDrive/1000sample/高雅.yomi000B9732_02E6.mp3
頭高
/content/drive/MyDrive/1000sample/高進.yomi000B96FB_04CE.mp3
平板
/content/drive/MyDrive/1000sample/高速度鋼.yomi000B96E0_029A.mp3
中高
/content/drive/MyDrive/1000sample/高速度鋼.yomi000B96E9_07D6.mp3
/content/drive/MyDrive/1000sample/高野ひじり_高野聖.yomi000B9714_0472.mp3
/content/drive/MyDrive/1000sample/高速度.yomi000B96D8_0056.mp3
中高
/content/drive/MyDrive/1000sample/高遠.yomi000B9704_05D2.mp3
平板
/content/drive/MyDrive/1000sample/高速道.yomi000B96F3_06C2.mp3
中高
/content/drive/MyDrive/1000sample/高配.yomi000B970D_0016.mp3
平板
/content/drive/MyDrive/1000sample/高障害.yomi000B9727_07C2.mp3
中高
/content/drive/MyDrive/1000sample/高野豆腐.yomi000B971E_01AE.mp3
中高
/content/drive/MyDrive/1000sample/高速増殖炉.yomi000B96CD_0532.mp3
中高
/content/drive/MyDrive/1000sample/高速.yomi000B96C5_0216.mp3
平板
/content/drive/MyDrive/1000sample/高跳び.yomi000B9693_04C8.mp3
/content/drive/MyDrive/1000sample/高貴.yomi000B9683_0118.mp3
頭高
/content/drive/MyDrive/1000sample/高踏的.yomi000B96C0_066C.mp3
平板
/content/drive/MyDrive/1000sample/高足駄.yomi000B968A_049C.mp3
中高
/content/drive/MyDrive/1000sample/高話.yomi000B9660_05E8.mp3
中高
/content/drive/MyDrive/1000sample/高論.yomi000B967A_029C.mp3
平板
/content/drive/MyDrive/1000sample/高評.yomi000B9657_04E4.mp3
平板
/content/drive/MyDrive/1000sample/高説.yomi000B9669_053C.mp3
平板
/content/drive/MyDrive/1000sample/高調子.yomi000B9671_05D0.mp3
中高
/content/drive/MyDrive/1000sample/高跳び.yomi000B96B1_0700.mp3
/content/drive/MyDrive/1000sample/高跳び.yomi000B96A0_0354.mp3
/content/drive/MyDrive/1000sample/高覧.yomi000B964E_0740.mp3
平板
/content/drive/MyDrive/1000sample/高見.yomi000B9647_005C.mp3
平板
/content/drive/MyDrive/1000sample/高給.yomi000B961D_01A8.mp3
平板
/content/drive/MyDrive/1000sample/高菜.yomi000B9625_059C.mp3
中高
/content/drive/MyDrive/1000sample/高級車.yomi000B9614_05B4.mp3
中高
/content/drive/MyDrive/1000sample/高裁.yomi000B963F_0400.mp3
平板
/content/drive/MyDrive/1000sample/高級店.yomi000B960B_0660.mp3
中高
/content/drive/MyDrive/1000sample/高等裁判所.yomi000B95E1_0238.mp3
/content/drive/MyDrive/1000sample/高級品.yomi000B95F8_0748.mp3
平板
/content/drive/MyDrive/1000sample/高級品.yomi000B9602_055C.mp3
/content/drive/MyDrive/1000sample/高級.yomi000B95F0_0354.mp3
平板
/content/drive/MyDrive/1000sample/高血圧.yomi000B9637_06CC.mp3
/content/drive/MyDrive/1000sample/高血圧.yomi000B962F_07E8.mp3
中高
/content/drive/MyDrive/1000sample/高等裁判所.yomi000B95D4_0124.mp3
平板
/content/drive/MyDrive/1000sample/高等科.yomi000B95CA_0238.mp3
平板
/content/drive/MyDrive/1000sample/高等官.yomi000B958B_0114.mp3
中高
/content/drive/MyDrive/1000sample/高等小学校.yomi000B9595_0360.mp3
中高
/content/drive/MyDrive/1000sample/高等検察庁.yomi000B95BB_062C.mp3
/content/drive/MyDrive/1000sample/高等学校.yomi000B9581_0228.mp3
中高
/content/drive/MyDrive/1000sample/高空.yomi000B955B_005E.mp3
/content/drive/MyDrive/1000sample/高笑.yomi000B956B_00AE.mp3
平板
/content/drive/MyDrive/1000sample/高空.yomi000B9563_02A2.mp3
/content/drive/MyDrive/1000sample/高等.yomi000B9578_0124.mp3
平板
/content/drive/MyDrive/1000sample/高笑い.yomi000B956F_00F8.mp3
中高
/content/drive/MyDrive/1000sample/高等検察庁.yomi000B95AD_04A8.mp3
中高
/content/drive/MyDrive/1000sample/高等弁務官.yomi000B95A3_05BC.mp3
中高
/content/drive/MyDrive/1000sample/高積雲.yomi000B9552_02BA.mp3
中高
/content/drive/MyDrive/1000sample/高砂族.yomi000B9549_00DE.mp3
中高
/content/drive/MyDrive/1000sample/高熱.yomi000B9527_046E.mp3
平板
/content/drive/MyDrive/1000sample/高率.yomi000B9530_0212.mp3
平板
/content/drive/MyDrive/1000sample/高瀬舟.yomi000B950F_01DA.mp3
中高
/content/drive/MyDrive/1000sample/高砂.yomi000B953F_062A.mp3
平板
/content/drive/MyDrive/1000sample/高点.yomi000B951F_058A.mp3
平板
/content/drive/MyDrive/1000sample/高潮.yomi000B9506_0436.mp3
/content/drive/MyDrive/1000sample/高炉.yomi000B9517_077E.mp3
頭高
/content/drive/MyDrive/1000sample/高潔.yomi000B94F9_0210.mp3
平板
/content/drive/MyDrive/1000sample/高潮.yomi000B94FD_0332.mp3
平板
/content/drive/MyDrive/1000sample/高知.yomi000B9538_07B6.mp3
頭高
/content/drive/MyDrive/1000sample/高湿.yomi000B94F0_061C.mp3
平板
/content/drive/MyDrive/1000sample/高温.yomi000B94E7_0440.mp3
平板
/content/drive/MyDrive/1000sample/高段.yomi000B94BB_0734.mp3
平板
/content/drive/MyDrive/1000sample/高段者.yomi000B94C4_0400.mp3
中高
/content/drive/MyDrive/1000sample/高波.yomi000B94DF_01FC.mp3
平板
/content/drive/MyDrive/1000sample/高歯.yomi000B94AE_02C0.mp3
/content/drive/MyDrive/1000sample/高楼.yomi000B948C_032A.mp3
平板
/content/drive/MyDrive/1000sample/高次.yomi000B949E_00FA.mp3
頭高
/content/drive/MyDrive/1000sample/高欄.yomi000B9495_0356.mp3
平板
/content/drive/MyDrive/1000sample/高歯.yomi000B94A1_035C.mp3
平板
/content/drive/MyDrive/1000sample/高根おろし_高根颪.yomi000B9482_0516.mp3
中高
/content/drive/MyDrive/1000sample/高気圧.yomi000B94D6_01D0.mp3
中高
/content/drive/MyDrive/1000sample/魂胆.yomi000B99C5_05F8.mp3
/content/drive/MyDrive/1000sample/魂胆.yomi000B99BE_0274.mp3
/content/drive/MyDrive/1000sample/鬼籍.yomi000B9976_0688.mp3
平板
/content/drive/MyDrive/1000sample/鬼神.yomi000B996C_01B4.mp3
/content/drive/MyDrive/1000sample/鬼火.yomi000B9942_0588.mp3
/content/drive/MyDrive/1000sample/鬼畜.yomi000B994A_01E4.mp3
平板
/content/drive/MyDrive/1000sample/鬼火.yomi000B993B_048C.mp3
中高
/content/drive/MyDrive/1000sample/鬼気.yomi000B9934_0618.mp3
/content/drive/MyDrive/1000sample/鬼気.yomi000B992E_007C.mp3
頭高
/content/drive/MyDrive/1000sample/鬼殻焼き.yomi000B9923_0708.mp3
平板
/content/drive/MyDrive/1000sample/鬼打ち豆.yomi000B9913_0508.mp3
中高
/content/drive/MyDrive/1000sample/鬼歯.yomi000B991C_07BC.mp3
中高
/content/drive/MyDrive/1000sample/鬼神.yomi000B9961_05B8.mp3
平板
/content/drive/MyDrive/1000sample/鬼神.yomi000B9959_0374.mp3
/content/drive/MyDrive/1000sample/鬼才.yomi000B990C_00AC.mp3
平板
/content/drive/MyDrive/1000sample/鬼神.yomi000B9951_07F0.mp3
中高
/content/drive/MyDrive/1000sample/鬼征伐.yomi000B9902_0370.mp3
中高
/content/drive/MyDrive/1000sample/鬼女.yomi000B98E3_0268.mp3
頭高
/content/drive/MyDrive/1000sample/鬼やらい_鬼儺.yomi000B98DA_074C.mp3
中高
/content/drive/MyDrive/1000sample/鬼子母神.yomi000B98FA_0054.mp3
/content/drive/MyDrive/1000sample/鬼ばばあ_鬼婆あ.yomi000B98D2_0358.mp3
/content/drive/MyDrive/1000sample/鬼ばばあ_鬼婆あ.yomi000B98C9_05B4.mp3
/content/drive/MyDrive/1000sample/鬼ばばあ_鬼婆あ.yomi000B98BE_0220.mp3
/content/drive/MyDrive/1000sample/鬼ばば_鬼婆.yomi000B98AE_0380.mp3
/content/drive/MyDrive/1000sample/鬼ばば_鬼婆.yomi000B98B6_0264.mp3
/content/drive/MyDrive/1000sample/鬼っ子.yomi000B98A6_0214.mp3
中高
/content/drive/MyDrive/1000sample/鬼子母神.yomi000B98F1_0538.mp3
中高
/content/drive/MyDrive/1000sample/鬼子.yomi000B98EA_028C.mp3
中高
/content/drive/MyDrive/1000sample/鬼ごっこ.yomi000B989D_0398.mp3
/content/drive/MyDrive/1000sample/鬼こく_鬼哭.yomi000B9893_0584.mp3
平板
/content/drive/MyDrive/1000sample/髪結い床.yomi000B9867_07A0.mp3
/content/drive/MyDrive/1000sample/髪飾り.yomi000B9874_01F4.mp3
中高
/content/drive/MyDrive/1000sample/鬼.yomi000B987C_00D8.mp3
尾高
/content/drive/MyDrive/1000sample/鬼が島.yomi000B988B_00B8.mp3
/content/drive/MyDrive/1000sample/髪結い床.yomi000B985E_04EC.mp3
/content/drive/MyDrive/1000sample/髪結い床.yomi000B9855_0310.mp3
/content/drive/MyDrive/1000sample/髪結い床.yomi000B984B_05D4.mp3
平板
/content/drive/MyDrive/1000sample/髪結い.yomi000B9833_03B4.mp3
中高
/content/drive/MyDrive/1000sample/髪結い.yomi000B9840_0090.mp3
/content/drive/MyDrive/1000sample/鬼がわら_鬼瓦.yomi000B9882_03EC.mp3
/content/drive/MyDrive/1000sample/髪癖.yomi000B9826_07B0.mp3
/content/drive/MyDrive/1000sample/髪癖.yomi000B981A_01FC.mp3
平板
/content/drive/MyDrive/1000sample/髪形.yomi000B97F7_06CC.mp3
/content/drive/MyDrive/1000sample/髪形.yomi000B9800_0110.mp3
/content/drive/MyDrive/1000sample/髪床.yomi000B97EF_0200.mp3
平板
/content/drive/MyDrive/1000sample/高齢者.yomi000B97D6_0694.mp3
中高
/content/drive/MyDrive/1000sample/髪の毛.yomi000B97E7_0244.mp3
中高
/content/drive/MyDrive/1000sample/髪.yomi000B97E0_04A8.mp3
尾高
/content/drive/MyDrive/1000sample/高齢化.yomi000B97CD_03E0.mp3
平板
/content/drive/MyDrive/1000sample/高齢.yomi000B97C4_0714.mp3
平板
/content/drive/MyDrive/1000sample/髪洗い.yomi000B9812_0090.mp3
中高
/content/drive/MyDrive/1000sample/髪油.yomi000B9809_0214.mp3
中高
/content/drive/MyDrive/1000sample/高麗にんじん_高麗人参.yomi000B97B9_0530.mp3
/content/drive/MyDrive/1000sample/魚拓.yomi000B9B80_00FC.mp3
平板
/content/drive/MyDrive/1000sample/魚市.yomi000B9B53_0608.mp3
/content/drive/MyDrive/1000sample/魚市場.yomi000B9B5C_01FC.mp3
中高
/content/drive/MyDrive/1000sample/魚心.yomi000B9B74_0208.mp3
中高
/content/drive/MyDrive/1000sample/魚市.yomi000B9B49_020C.mp3
/content/drive/MyDrive/1000sample/魚体.yomi000B9B28_07BC.mp3
平板
/content/drive/MyDrive/1000sample/魚信.yomi000B9B31_0200.mp3
平板
/content/drive/MyDrive/1000sample/魚屋.yomi000B9B39_0294.mp3
平板
/content/drive/MyDrive/1000sample/魚介類.yomi000B9B20_0218.mp3
中高
/content/drive/MyDrive/1000sample/魚市.yomi000B9B41_04D8.mp3
中高
/content/drive/MyDrive/1000sample/魚影.yomi000B9B6C_075C.mp3
/content/drive/MyDrive/1000sample/魚影.yomi000B9B65_0150.mp3
平板
/content/drive/MyDrive/1000sample/魚介.yomi000B9B18_05BC.mp3
平板
/content/drive/MyDrive/1000sample/魚りん_魚鱗.yomi000B9B10_07B0.mp3
平板
/content/drive/MyDrive/1000sample/魔風.yomi000B9AE9_0614.mp3
/content/drive/MyDrive/1000sample/魚.yomi000B9AF1_0420.mp3
平板
/content/drive/MyDrive/1000sample/魚の目.yomi000B9B08_056C.mp3
平板
/content/drive/MyDrive/1000sample/魔風.yomi000B9AE2_01B8.mp3
頭高
/content/drive/MyDrive/1000sample/魔神.yomi000B9AC7_056C.mp3
/content/drive/MyDrive/1000sample/魔笛.yomi000B9ACF_0600.mp3
平板
/content/drive/MyDrive/1000sample/魔神.yomi000B9ABF_0760.mp3
平板
/content/drive/MyDrive/1000sample/魔界.yomi000B9AB8_022C.mp3
平板
/content/drive/MyDrive/1000sample/魔術.yomi000B9ADA_02D4.mp3
頭高
/content/drive/MyDrive/1000sample/魚かす_魚滓.yomi000B9AFF_07C8.mp3
平板
/content/drive/MyDrive/1000sample/魚.yomi000B9AF9_03DC.mp3
/content/drive/MyDrive/1000sample/魔球.yomi000B9AB0_0348.mp3
平板
/content/drive/MyDrive/1000sample/魔王.yomi000B9AA8_07C4.mp3
中高
/content/drive/MyDrive/1000sample/魔法使い.yomi000B9A8B_0150.mp3
/content/drive/MyDrive/1000sample/魔物.yomi000B9AA1_01B8.mp3
平板
/content/drive/MyDrive/1000sample/魔法使い.yomi000B9A7E_02C4.mp3
中高
/content/drive/MyDrive/1000sample/魔女狩り.yomi000B9A57_0710.mp3
平板
/content/drive/MyDrive/1000sample/魔性.yomi000B9A60_022C.mp3
平板
/content/drive/MyDrive/1000sample/魔法.yomi000B9A76_0080.mp3
平板
/content/drive/MyDrive/1000sample/魔手.yomi000B9A6F_020C.mp3
頭高
/content/drive/MyDrive/1000sample/魔女.yomi000B9A51_024C.mp3
頭高
/content/drive/MyDrive/1000sample/魔所.yomi000B9A68_02C0.mp3
頭高
/content/drive/MyDrive/1000sample/魔法瓶.yomi000B9A98_0264.mp3
中高
/content/drive/MyDrive/1000sample/魔境.yomi000B9A49_00E0.mp3
平板
/content/drive/MyDrive/1000sample/魔力.yomi000B9A41_0124.mp3
/content/drive/MyDrive/1000sample/魔の手.yomi000B9A15_02DC.mp3
/content/drive/MyDrive/1000sample/魔の手.yomi000B9A0C_0388.mp3
頭高
/content/drive/MyDrive/1000sample/魔力.yomi000B9A39_0750.mp3
頭高
/content/drive/MyDrive/1000sample/魔くつ_魔窟.yomi000B9A04_021C.mp3
平板
/content/drive/MyDrive/1000sample/魔.yomi000B99EE_0004.mp3
平板
/content/drive/MyDrive/1000sample/魅力.yomi000B99DD_07B4.mp3
平板
/content/drive/MyDrive/1000sample/魅了.yomi000B99D5_07F8.mp3
平板
/content/drive/MyDrive/1000sample/魔.yomi000B99F7_01E0.mp3
/content/drive/MyDrive/1000sample/魅惑.yomi000B99E5_0770.mp3
平板
/content/drive/MyDrive/1000sample/魔よけ_魔除け.yomi000B9A2B_0194.mp3
/content/drive/MyDrive/1000sample/魔よけ_魔除け.yomi000B9A1E_0158.mp3
平板
/content/drive/MyDrive/1000sample/魅せられる.yomi000B99D1_0376.mp3
中高
/content/drive/MyDrive/1000sample/魅する.yomi000B99CD_05B4.mp3
中高
/content/drive/MyDrive/1000sample/魂胆.yomi000B99B6_0468.mp3
頭高
/content/drive/MyDrive/1000sample/鬼門.yomi000B998E_0694.mp3
平板
/content/drive/MyDrive/1000sample/鬼籍.yomi000B997E_03BC.mp3
/content/drive/MyDrive/1000sample/鬼面.yomi000B999E_02AC.mp3
/content/drive/MyDrive/1000sample/魂.yomi000B99A5_0480.mp3
頭高
/content/drive/MyDrive/1000sample/鬼退治.yomi000B9985_0668.mp3
中高
/content/drive/MyDrive/1000sample/鬼面.yomi000B9996_04A0.mp3
平板
/content/drive/MyDrive/1000sample/魂ぱく_魂魄.yomi000B99AE_03D4.mp3
/content/drive/MyDrive/1000sample/鳥合わせ_鶏合わせ.yomi000B9D77_0182.mp3
中高
/content/drive/MyDrive/1000sample/鳥刺し.yomi000B9D52_0286.mp3
尾高
/content/drive/MyDrive/1000sample/鳥取.yomi000B9D6F_00EE.mp3
平板
/content/drive/MyDrive/1000sample/鳥刺し.yomi000B9D60_076A.mp3
/content/drive/MyDrive/1000sample/鳥人.yomi000B9D49_0332.mp3
平板
/content/drive/MyDrive/1000sample/鳥もち_鳥黐.yomi000B9D41_00EE.mp3
/content/drive/MyDrive/1000sample/鳥居.yomi000B9D9D_059A.mp3
平板
/content/drive/MyDrive/1000sample/鳥小屋.yomi000B9D95_05DE.mp3
平板
/content/drive/MyDrive/1000sample/鳥もち_鳥黐.yomi000B9D38_0422.mp3
平板
/content/drive/MyDrive/1000sample/鳥の子紙.yomi000B9D2E_0536.mp3
/content/drive/MyDrive/1000sample/鳥かご_鳥篭.yomi000B9CF1_04E2.mp3
/content/drive/MyDrive/1000sample/鳥なべ_鳥鍋.yomi000B9D0A_0636.mp3
/content/drive/MyDrive/1000sample/鳥の子.yomi000B9D12_05F2.mp3
平板
/content/drive/MyDrive/1000sample/鳥の子紙.yomi000B9D25_00D2.mp3
中高
/content/drive/MyDrive/1000sample/鳥ざお_鳥竿.yomi000B9D02_031A.mp3
/content/drive/MyDrive/1000sample/鯨飲.yomi000B9CD1_0306.mp3
平板
/content/drive/MyDrive/1000sample/鳥おどし_鳥威し.yomi000B9CE5_00DE.mp3
/content/drive/MyDrive/1000sample/鳥.yomi000B9CDB_02CA.mp3
平板
/content/drive/MyDrive/1000sample/鳥かぶと_鳥兜.yomi000B9CF9_0576.mp3
/content/drive/MyDrive/1000sample/鳥の子もち_鳥の子餅.yomi000B9D1A_0686.mp3
中高
/content/drive/MyDrive/1000sample/鯨肉.yomi000B9CC8_063A.mp3
/content/drive/MyDrive/1000sample/鯨肉.yomi000B9CC0_04CE.mp3
/content/drive/MyDrive/1000sample/鯨ひげ.yomi000B9C95_009A.mp3
/content/drive/MyDrive/1000sample/鯨尺.yomi000B9C9D_0716.mp3
平板
/content/drive/MyDrive/1000sample/鯨油.yomi000B9CB8_0512.mp3
平板
/content/drive/MyDrive/1000sample/鯨ざし.yomi000B9C8C_021E.mp3
/content/drive/MyDrive/1000sample/鮮血.yomi000B9C60_05EA.mp3
平板
/content/drive/MyDrive/1000sample/鮮魚商.yomi000B9C71_0422.mp3
中高
/content/drive/MyDrive/1000sample/鮮魚店.yomi000B9C7B_0086.mp3
中高
/content/drive/MyDrive/1000sample/鮮魚.yomi000B9C69_0616.mp3
頭高
/content/drive/MyDrive/1000sample/鯨.yomi000B9C84_0412.mp3
平板
/content/drive/MyDrive/1000sample/鯨幕.yomi000B9CAF_040E.mp3
中高
/content/drive/MyDrive/1000sample/鯨帯.yomi000B9CA7_0452.mp3
中高
/content/drive/MyDrive/1000sample/鮮紅色.yomi000B9C56_06FE.mp3
中高
/content/drive/MyDrive/1000sample/鮮烈.yomi000B9C52_0354.mp3
平板
/content/drive/MyDrive/1000sample/魚類.yomi000B9C3B_0058.mp3
頭高
/content/drive/MyDrive/1000sample/魚雷.yomi000B9C33_05AC.mp3
平板
/content/drive/MyDrive/1000sample/鮮明.yomi000B9C4E_015A.mp3
平板
/content/drive/MyDrive/1000sample/魚釣り.yomi000B9C25_05D8.mp3
/content/drive/MyDrive/1000sample/魚腹.yomi000B9BF8_07F8.mp3
平板
/content/drive/MyDrive/1000sample/魚釣り.yomi000B9C17_052C.mp3
/content/drive/MyDrive/1000sample/魚釣り.yomi000B9C09_0558.mp3
/content/drive/MyDrive/1000sample/魚肉.yomi000B9BF1_0114.mp3
平板
/content/drive/MyDrive/1000sample/魚釣り.yomi000B9C00_06DC.mp3
/content/drive/MyDrive/1000sample/鮮度.yomi000B9C46_019E.mp3
頭高
/content/drive/MyDrive/1000sample/鮮やか.yomi000B9C42_007C.mp3
中高
/content/drive/MyDrive/1000sample/魚群探知機.yomi000B9BE6_00E0.mp3
中高
/content/drive/MyDrive/1000sample/魚群.yomi000B9BDE_02D4.mp3
平板
/content/drive/MyDrive/1000sample/魚眼レンズ.yomi000B9BC4_0398.mp3
/content/drive/MyDrive/1000sample/魚河岸.yomi000B9BA6_0150.mp3
平板
/content/drive/MyDrive/1000sample/魚板_魚鼓.yomi000B9B97_04D0.mp3
/content/drive/MyDrive/1000sample/魚板_魚鼓.yomi000B9B9F_012C.mp3
/content/drive/MyDrive/1000sample/魚油.yomi000B9BB5_07F0.mp3
/content/drive/MyDrive/1000sample/魚田.yomi000B9BBC_073C.mp3
平板
/content/drive/MyDrive/1000sample/魚族.yomi000B9B8F_079C.mp3
頭高
/content/drive/MyDrive/1000sample/魚油.yomi000B9BAE_06F4.mp3
平板
/content/drive/MyDrive/1000sample/魚粉.yomi000B9BD6_0168.mp3
平板
/content/drive/MyDrive/1000sample/魚礁.yomi000B9BCE_00D4.mp3
平板
/content/drive/MyDrive/1000sample/魚探.yomi000B9B88_00B8.mp3
平板
/content/drive/MyDrive/1000sample/鶏ふん_鶏糞.yomi000B9F65_052C.mp3
平板
/content/drive/MyDrive/1000sample/鳴門わかめ_鳴門若布.yomi000B9F35_0738.mp3
中高
/content/drive/MyDrive/1000sample/鵜.yomi000B9F40_04E4.mp3
尾高
/content/drive/MyDrive/1000sample/鶏.yomi000B9F5D_0060.mp3
平板
/content/drive/MyDrive/1000sample/鳴海絞り.yomi000B9F2C_004C.mp3
中高
/content/drive/MyDrive/1000sample/鳴る神.yomi000B9F08_0734.mp3
平板
/content/drive/MyDrive/1000sample/鳴弦.yomi000B9F23_0458.mp3
平板
/content/drive/MyDrive/1000sample/鳴り響く.yomi000B9F00_06A0.mp3
中高
/content/drive/MyDrive/1000sample/鳴動.yomi000B9F11_0760.mp3
平板
/content/drive/MyDrive/1000sample/鳴子.yomi000B9F1B_013C.mp3
平板
/content/drive/MyDrive/1000sample/鵜飼い.yomi000B9F56_003C.mp3
/content/drive/MyDrive/1000sample/鵜飼い.yomi000B9F4E_0158.mp3
平板
/content/drive/MyDrive/1000sample/鳴る.yomi000B9F05_05AA.mp3
平板
/content/drive/MyDrive/1000sample/鳴り物入り.yomi000B9EF6_0454.mp3
平板
/content/drive/MyDrive/1000sample/鳴り.yomi000B9ED7_0210.mp3
平板
/content/drive/MyDrive/1000sample/鳴らす.yomi000B9ED3_00EE.mp3
平板
/content/drive/MyDrive/1000sample/鳴りかぶら_鳴り鏑.yomi000B9EE4_0684.mp3
/content/drive/MyDrive/1000sample/鳴り物.yomi000B9EED_06B0.mp3
平板
/content/drive/MyDrive/1000sample/鳴く.yomi000B9ECF_05B4.mp3
平板
/content/drive/MyDrive/1000sample/鳴き声.yomi000B9EB4_0530.mp3
/content/drive/MyDrive/1000sample/鳴き声.yomi000B9EA9_019C.mp3
中高
/content/drive/MyDrive/1000sample/鳴き竜.yomi000B9EC6_03D8.mp3
平板
/content/drive/MyDrive/1000sample/鳴き砂.yomi000B9EBD_0484.mp3
平板
/content/drive/MyDrive/1000sample/鳴り渡る.yomi000B9EE9_022E.mp3
中高
/content/drive/MyDrive/1000sample/鳴き交わす.yomi000B9EA4_036A.mp3
中高
/content/drive/MyDrive/1000sample/鳴きん_鳴禽.yomi000B9E9B_05C6.mp3
平板
/content/drive/MyDrive/1000sample/鳥類.yomi000B9E7A_0156.mp3
頭高
/content/drive/MyDrive/1000sample/鳥飯.yomi000B9E81_0762.mp3
平板
/content/drive/MyDrive/1000sample/鳴きしきる.yomi000B9E97_0144.mp3
中高
/content/drive/MyDrive/1000sample/鳥追い歌.yomi000B9E6C_04E2.mp3
/content/drive/MyDrive/1000sample/鳥観図.yomi000B9E3F_017E.mp3
中高
/content/drive/MyDrive/1000sample/鳥追い.yomi000B9E4F_0456.mp3
平板
/content/drive/MyDrive/1000sample/鳥貝.yomi000B9E48_00D2.mp3
中高
/content/drive/MyDrive/1000sample/鳥追い.yomi000B9E57_033A.mp3
/content/drive/MyDrive/1000sample/鳥追い歌.yomi000B9E5F_006E.mp3
中高
/content/drive/MyDrive/1000sample/鳴き.yomi000B9E8F_0698.mp3
平板
/content/drive/MyDrive/1000sample/鳴かず飛ばず.yomi000B9E8A_042E.mp3
/content/drive/MyDrive/1000sample/鳥観.yomi000B9E36_007A.mp3
平板
/content/drive/MyDrive/1000sample/鳥葬.yomi000B9E2C_0266.mp3
平板
/content/drive/MyDrive/1000sample/鳥目.yomi000B9DF7_0456.mp3
平板
/content/drive/MyDrive/1000sample/鳥獣.yomi000B9DED_056A.mp3
平板
/content/drive/MyDrive/1000sample/鳥目.yomi000B9E00_0122.mp3
/content/drive/MyDrive/1000sample/鳥網.yomi000B9E07_0656.mp3
平板
/content/drive/MyDrive/1000sample/鳥肌.yomi000B9E23_0672.mp3
平板
/content/drive/MyDrive/1000sample/鳥肉.yomi000B9E17_041E.mp3
平板
/content/drive/MyDrive/1000sample/鳥料理.yomi000B9DE5_024E.mp3
中高
/content/drive/MyDrive/1000sample/鳥打ち帽.yomi000B9DCA_0166.mp3
/content/drive/MyDrive/1000sample/鳥打ち帽.yomi000B9DBD_0202.mp3
中高
/content/drive/MyDrive/1000sample/鳥打ち帽子.yomi000B9DD7_027A.mp3
中高
/content/drive/MyDrive/1000sample/鳥羽絵.yomi000B9E0F_0612.mp3
平板
/content/drive/MyDrive/1000sample/鳥打ち.yomi000B9DB4_06E6.mp3
平板
/content/drive/MyDrive/1000sample/鳥影.yomi000B9DAC_0652.mp3
平板
/content/drive/MyDrive/1000sample/鳥寄せ.yomi000B9D8D_0112.mp3
平板
/content/drive/MyDrive/1000sample/鳥声.yomi000B9D84_00E6.mp3
平板
/content/drive/MyDrive/1000sample/鳥屋.yomi000B9DA5_01F6.mp3
平板
/content/drive/MyDrive/1000sample/麦芽糖.yomi000BA179_0454.mp3
平板
/content/drive/MyDrive/1000sample/麦焦がし.yomi000BA128_02C8.mp3
/content/drive/MyDrive/1000sample/麦湯.yomi000BA120_0594.mp3
中高
/content/drive/MyDrive/1000sample/麦刈り.yomi000BA0FD_07DC.mp3
/content/drive/MyDrive/1000sample/麦作.yomi000BA0ED_027C.mp3
平板
/content/drive/MyDrive/1000sample/麦刈り.yomi000BA0F5_0238.mp3
平板
/content/drive/MyDrive/1000sample/麦打ち.yomi000BA118_00C8.mp3
/content/drive/MyDrive/1000sample/麦わら細工.yomi000BA0E2_0758.mp3
中高
/content/drive/MyDrive/1000sample/麦わら帽子.yomi000BA0D8_05E4.mp3
中高
/content/drive/MyDrive/1000sample/麦わら_麦藁.yomi000BA0C6_073C.mp3
/content/drive/MyDrive/1000sample/麦わら帽.yomi000BA0CE_07D0.mp3
中高
/content/drive/MyDrive/1000sample/麦わら_麦藁.yomi000BA0BE_0348.mp3
平板
/content/drive/MyDrive/1000sample/麦打ち.yomi000BA10F_03FC.mp3
/content/drive/MyDrive/1000sample/麦打ち.yomi000BA106_03D0.mp3
平板
/content/drive/MyDrive/1000sample/麦らくがん_麦落雁.yomi000BA0B1_0234.mp3
/content/drive/MyDrive/1000sample/麦らくがん_麦落雁.yomi000BA0A4_02D0.mp3
/content/drive/MyDrive/1000sample/麦まき.yomi000BA08A_0034.mp3
中高
/content/drive/MyDrive/1000sample/麦とろ.yomi000BA081_0440.mp3
平板
/content/drive/MyDrive/1000sample/麦つき_麦搗き.yomi000BA079_0124.mp3
中高
/content/drive/MyDrive/1000sample/麦から_麦稈.yomi000BA04A_0040.mp3
平板
/content/drive/MyDrive/1000sample/麦かん_麦稈.yomi000BA054_028C.mp3
平板
/content/drive/MyDrive/1000sample/麦こき_麦扱き.yomi000BA067_0354.mp3
中高
/content/drive/MyDrive/1000sample/麦ごはん.yomi000BA070_02A8.mp3
/content/drive/MyDrive/1000sample/麦かんさなだ_麦稈真田.yomi000BA05D_0030.mp3
/content/drive/MyDrive/1000sample/麦まき.yomi000BA09B_0454.mp3
/content/drive/MyDrive/1000sample/麦まき.yomi000BA092_06B0.mp3
/content/drive/MyDrive/1000sample/麦.yomi000BA043_02A4.mp3
頭高
/content/drive/MyDrive/1000sample/麗質.yomi000BA03A_0428.mp3
平板
/content/drive/MyDrive/1000sample/麗容.yomi000BA019_0168.mp3
平板
/content/drive/MyDrive/1000sample/麗姿.yomi000BA011_0284.mp3
頭高
/content/drive/MyDrive/1000sample/麗色.yomi000BA031_0684.mp3
平板
/content/drive/MyDrive/1000sample/麗人.yomi000BA009_0040.mp3
平板
/content/drive/MyDrive/1000sample/麗し.yomi000B9FFC_0252.mp3
平板
/content/drive/MyDrive/1000sample/麗々しい.yomi000B9FF2_043E.mp3
中高
/content/drive/MyDrive/1000sample/麗々しく.yomi000B9FF7_0348.mp3
中高
/content/drive/MyDrive/1000sample/麗し.yomi000BA000_044C.mp3
/content/drive/MyDrive/1000sample/麗しい.yomi000BA004_0496.mp3
中高
/content/drive/MyDrive/1000sample/麗筆.yomi000BA029_0440.mp3
平板
/content/drive/MyDrive/1000sample/麗日.yomi000BA021_02D4.mp3
平板
/content/drive/MyDrive/1000sample/麗.yomi000B9FEF_0104.mp3
頭高
/content/drive/MyDrive/1000sample/鹿鳴館.yomi000B9FE5_0650.mp3
中高
/content/drive/MyDrive/1000sample/鶴屋南北.yomi000B9FAE_0474.mp3
/content/drive/MyDrive/1000sample/鹿児島.yomi000B9FBE_07B0.mp3
平板
/content/drive/MyDrive/1000sample/鹿沼土.yomi000B9FD9_04D4.mp3
中高
/content/drive/MyDrive/1000sample/鶴屋南北.yomi000B9FA0_0140.mp3
中高
/content/drive/MyDrive/1000sample/鶏肉.yomi000B9F7F_0618.mp3
平板
/content/drive/MyDrive/1000sample/鶏鳴.yomi000B9F97_07D4.mp3
平板
/content/drive/MyDrive/1000sample/鶏舎.yomi000B9F88_020C.mp3
頭高
/content/drive/MyDrive/1000sample/鶏群.yomi000B9F76_01B4.mp3
平板
/content/drive/MyDrive/1000sample/鶏頭.yomi000B9F8F_03E0.mp3
平板
/content/drive/MyDrive/1000sample/鹿島立ち.yomi000B9FD0_03D0.mp3
/content/drive/MyDrive/1000sample/鹿島立ち.yomi000B9FC7_011C.mp3
平板
/content/drive/MyDrive/1000sample/鶏卵.yomi000B9F6E_0120.mp3
平板
/content/drive/MyDrive/1000sample/黄色人種.yomi000BA32F_0272.mp3
中高
/content/drive/MyDrive/1000sample/黄綬褒章.yomi000BA308_0620.mp3
中高
/content/drive/MyDrive/1000sample/黄白.yomi000BA2F9_0058.mp3
頭高
/content/drive/MyDrive/1000sample/黄玉.yomi000BA2F0_02B4.mp3
平板
/content/drive/MyDrive/1000sample/黄砂.yomi000BA301_0524.mp3
頭高
/content/drive/MyDrive/1000sample/黄熱病.yomi000BA2E6_02F0.mp3
平板
/content/drive/MyDrive/1000sample/黄熟.yomi000BA2DD_07D4.mp3
平板
/content/drive/MyDrive/1000sample/黄色い.yomi000BA32B_0150.mp3
平板
/content/drive/MyDrive/1000sample/黄色.yomi000BA323_00BC.mp3
平板
/content/drive/MyDrive/1000sample/黄泉.yomi000BA2D6_0018.mp3
平板
/content/drive/MyDrive/1000sample/黄水晶.yomi000BA2CC_0714.mp3
中高
/content/drive/MyDrive/1000sample/黄枯茶.yomi000BA2AA_04BC.mp3
中高
/content/drive/MyDrive/1000sample/黄桃.yomi000BA2B3_00B0.mp3
平板
/content/drive/MyDrive/1000sample/黄変米.yomi000BA2A1_0208.mp3
平板
/content/drive/MyDrive/1000sample/黄土.yomi000BA293_0010.mp3
頭高
/content/drive/MyDrive/1000sample/黄りん_黄燐.yomi000BA271_0414.mp3
平板
/content/drive/MyDrive/1000sample/黄八丈.yomi000BA285_06FC.mp3
/content/drive/MyDrive/1000sample/黄土.yomi000BA29A_01E4.mp3
/content/drive/MyDrive/1000sample/黄八丈.yomi000BA279_02F8.mp3
中高
/content/drive/MyDrive/1000sample/黄水仙.yomi000BA2C3_0538.mp3
中高
/content/drive/MyDrive/1000sample/黄水.yomi000BA2BB_03CC.mp3
平板
/content/drive/MyDrive/1000sample/黄ばむ.yomi000BA26D_072A.mp3
/content/drive/MyDrive/1000sample/黄ばむ.yomi000BA26A_0240.mp3
/content/drive/MyDrive/1000sample/黄.yomi000BA23F_0618.mp3
尾高
/content/drive/MyDrive/1000sample/麻酔薬.yomi000BA236_0364.mp3
中高
/content/drive/MyDrive/1000sample/黄じん_黄塵.yomi000BA261_03C4.mp3
/content/drive/MyDrive/1000sample/麻酔剤.yomi000BA22D_0188.mp3
/content/drive/MyDrive/1000sample/麻薬.yomi000BA204_04F4.mp3
平板
/content/drive/MyDrive/1000sample/麻酔.yomi000BA21C_0278.mp3
平板
/content/drive/MyDrive/1000sample/麻裏.yomi000BA20C_0588.mp3
平板
/content/drive/MyDrive/1000sample/麻裏草履.yomi000BA213_03FC.mp3
中高
/content/drive/MyDrive/1000sample/麻酔剤.yomi000BA224_0234.mp3
中高
/content/drive/MyDrive/1000sample/黄ざら.yomi000BA259_0768.mp3
/content/drive/MyDrive/1000sample/黄.yomi000BA24E_03D4.mp3
/content/drive/MyDrive/1000sample/麻織り.yomi000BA1FD_0758.mp3
平板
/content/drive/MyDrive/1000sample/麻縄.yomi000BA1F7_000C.mp3
平板
/content/drive/MyDrive/1000sample/麻の葉.yomi000BA1DB_02DC.mp3
中高
/content/drive/MyDrive/1000sample/麻の実.yomi000BA1D4_0468.mp3
平板
/content/drive/MyDrive/1000sample/麻糸.yomi000BA1EF_07E8.mp3
平板
/content/drive/MyDrive/1000sample/麻がみしも_麻裃.yomi000BA1CC_0074.mp3
/content/drive/MyDrive/1000sample/麻お_麻苧.yomi000BA1C3_0630.mp3
平板
/content/drive/MyDrive/1000sample/麻.yomi000BA1BE_0614.mp3
尾高
/content/drive/MyDrive/1000sample/麦飯.yomi000BA1AD_062C.mp3
平板
/content/drive/MyDrive/1000sample/麦飯.yomi000BA1B6_0070.mp3
/content/drive/MyDrive/1000sample/麦踏み.yomi000BA1A5_0088.mp3
/content/drive/MyDrive/1000sample/麻垂れ.yomi000BA1E8_038C.mp3
平板
/content/drive/MyDrive/1000sample/麻の葉.yomi000BA1E1_0440.mp3
/content/drive/MyDrive/1000sample/麦踏み.yomi000BA19C_020C.mp3
/content/drive/MyDrive/1000sample/麦踏み.yomi000BA194_00A0.mp3
中高
/content/drive/MyDrive/1000sample/麦芽.yomi000BA171_0498.mp3
平板
/content/drive/MyDrive/1000sample/麦粒しゅ_麦粒腫.yomi000BA168_0394.mp3
中高
/content/drive/MyDrive/1000sample/麦角.yomi000BA18B_014C.mp3
平板
/content/drive/MyDrive/1000sample/麦粉.yomi000BA15D_00D8.mp3
尾高
/content/drive/MyDrive/1000sample/麦笛.yomi000BA14C_01C8.mp3
平板
/content/drive/MyDrive/1000sample/麦笛.yomi000BA154_04E4.mp3
/content/drive/MyDrive/1000sample/麦秋.yomi000BA13A_03F8.mp3
/content/drive/MyDrive/1000sample/麦秋.yomi000BA143_0424.mp3
/content/drive/MyDrive/1000sample/麦畑.yomi000BA131_03CC.mp3
中高
/content/drive/MyDrive/1000sample/麦茶.yomi000BA183_0418.mp3
中高
/content/drive/MyDrive/1000sample/黒人.yomi000BA4E8_0520.mp3
平板
/content/drive/MyDrive/1000sample/黒ゆり_黒百合.yomi000BA4C7_00B0.mp3
中高
/content/drive/MyDrive/1000sample/黒み.yomi000BA4AE_06F4.mp3
尾高
/content/drive/MyDrive/1000sample/黒みす_黒御簾.yomi000BA4BA_039A.mp3
平板
/content/drive/MyDrive/1000sample/黒ぼく地帯.yomi000BA4A7_00E8.mp3
/content/drive/MyDrive/1000sample/黒みつ_黒蜜.yomi000BA4BE_04BC.mp3
平板
/content/drive/MyDrive/1000sample/黒みがかる.yomi000BA4B6_00C8.mp3
/content/drive/MyDrive/1000sample/黒ビール.yomi000BA4DF_077C.mp3
/content/drive/MyDrive/1000sample/黒ばむ.yomi000BA49B_051A.mp3
/content/drive/MyDrive/1000sample/黒ぼく地帯.yomi000BA49F_0054.mp3
/content/drive/MyDrive/1000sample/黒じゅす.yomi000BA470_0446.mp3
/content/drive/MyDrive/1000sample/黒ちりめん.yomi000BA47C_05FC.mp3
中高
/content/drive/MyDrive/1000sample/黒てん_黒貂.yomi000BA493_02D6.mp3
平板
/content/drive/MyDrive/1000sample/黒ずむ.yomi000BA479_0112.mp3
/content/drive/MyDrive/1000sample/黒い.yomi000BA455_07C0.mp3
中高
/content/drive/MyDrive/1000sample/黒こしょう_黒胡椒.yomi000BA460_031E.mp3
中高
/content/drive/MyDrive/1000sample/黒くま_黒熊.yomi000BA458_00DA.mp3
平板
/content/drive/MyDrive/1000sample/黒さ.yomi000BA469_034A.mp3
頭高
/content/drive/MyDrive/1000sample/黒々と.yomi000BA451_05C6.mp3
中高
/content/drive/MyDrive/1000sample/黒っぽい.yomi000BA48F_043C.mp3
/content/drive/MyDrive/1000sample/黒ちりめん.yomi000BA485_0700.mp3
/content/drive/MyDrive/1000sample/黒.yomi000BA44B_002A.mp3
頭高
/content/drive/MyDrive/1000sample/黄麻紙.yomi000BA442_01AE.mp3
中高
/content/drive/MyDrive/1000sample/黄金郷.yomi000BA416_0142.mp3
平板
/content/drive/MyDrive/1000sample/黄鉄鉱.yomi000BA420_01DE.mp3
中高
/content/drive/MyDrive/1000sample/黄麻.yomi000BA43B_0412.mp3
頭高
/content/drive/MyDrive/1000sample/黄金虫.yomi000BA40C_068E.mp3
中高
/content/drive/MyDrive/1000sample/黄金律.yomi000BA3F0_0162.mp3
中高
/content/drive/MyDrive/1000sample/黄金色.yomi000BA403_007A.mp3
平板
/content/drive/MyDrive/1000sample/黄金.yomi000BA3DD_0172.mp3
/content/drive/MyDrive/1000sample/黄金時代.yomi000BA3F9_05C6.mp3
中高
/content/drive/MyDrive/1000sample/黄金分割.yomi000BA3E5_03B6.mp3
中高
/content/drive/MyDrive/1000sample/黄銅鉱.yomi000BA431_06D6.mp3
中高
/content/drive/MyDrive/1000sample/黄銅.yomi000BA429_0492.mp3
平板
/content/drive/MyDrive/1000sample/黄金.yomi000BA3D5_0516.mp3
/content/drive/MyDrive/1000sample/黄金.yomi000BA3CD_07E2.mp3
平板
/content/drive/MyDrive/1000sample/黄道.yomi000BA38D_0512.mp3
/content/drive/MyDrive/1000sample/黄道.yomi000BA384_040E.mp3
平板
/content/drive/MyDrive/1000sample/黄道吉日.yomi000BA3BB_0216.mp3
/content/drive/MyDrive/1000sample/黄身酢.yomi000BA37C_0602.mp3
平板
/content/drive/MyDrive/1000sample/黄葉.yomi000BA355_0252.mp3
平板
/content/drive/MyDrive/1000sample/黄身豆腐.yomi000BA373_0786.mp3
中高
/content/drive/MyDrive/1000sample/黄身.yomi000BA367_01D2.mp3
平板
/content/drive/MyDrive/1000sample/黄菊.yomi000BA34D_000E.mp3
/content/drive/MyDrive/1000sample/黄表紙.yomi000BA35E_042E.mp3
中高
/content/drive/MyDrive/1000sample/黄道吉日.yomi000BA3A7_058A.mp3
/content/drive/MyDrive/1000sample/黄道吉日.yomi000BA395_067E.mp3
平板
/content/drive/MyDrive/1000sample/黄菊.yomi000BA345_012A.mp3
頭高
/content/drive/MyDrive/1000sample/黄色人種.yomi000BA33A_07B6.mp3
/content/drive/MyDrive/1000sample/黄繭.yomi000BA31B_0028.mp3
平板
/content/drive/MyDrive/1000sample/黄緑.yomi000BA312_0794.mp3
中高
/content/drive/MyDrive/1000sample/黒眼鏡.yomi000BA676_0492.mp3
中高
/content/drive/MyDrive/1000sample/黒目がち.yomi000BA672_05F8.mp3
/content/drive/MyDrive/1000sample/黒目.yomi000BA66B_04FC.mp3
/content/drive/MyDrive/1000sample/黒白.yomi000BA640_00C8.mp3
平板
/content/drive/MyDrive/1000sample/黒白.yomi000BA649_052C.mp3
/content/drive/MyDrive/1000sample/黒目.yomi000BA664_0328.mp3
/content/drive/MyDrive/1000sample/黒目.yomi000BA65D_0304.mp3
中高
/content/drive/MyDrive/1000sample/黒白.yomi000BA652_01F8.mp3
頭高
/content/drive/MyDrive/1000sample/黒穂病.yomi000BA690_006E.mp3
平板
/content/drive/MyDrive/1000sample/黒穂.yomi000BA688_0412.mp3
平板
/content/drive/MyDrive/1000sample/黒猫.yomi000BA637_03FC.mp3
平板
/content/drive/MyDrive/1000sample/黒砂糖.yomi000BA67F_015E.mp3
中高
/content/drive/MyDrive/1000sample/黒煙.yomi000BA62E_04A8.mp3
/content/drive/MyDrive/1000sample/黒点.yomi000BA60D_02C0.mp3
/content/drive/MyDrive/1000sample/黒焦げ.yomi000BA614_056C.mp3
/content/drive/MyDrive/1000sample/黒炭.yomi000BA5FF_00C8.mp3
中高
/content/drive/MyDrive/1000sample/黒水晶.yomi000BA5EC_0360.mp3
中高
/content/drive/MyDrive/1000sample/黒煙.yomi000BA625_0554.mp3
/content/drive/MyDrive/1000sample/黒点.yomi000BA605_03DC.mp3
平板
/content/drive/MyDrive/1000sample/黒潮.yomi000BA5F6_03FC.mp3
平板
/content/drive/MyDrive/1000sample/黒水引.yomi000BA5DB_0018.mp3
中高
/content/drive/MyDrive/1000sample/黒水引.yomi000BA5E4_07DC.mp3
/content/drive/MyDrive/1000sample/黒焼き.yomi000BA61D_0310.mp3
平板
/content/drive/MyDrive/1000sample/黒枠.yomi000BA5D2_0424.mp3
平板
/content/drive/MyDrive/1000sample/黒板塀.yomi000BA5C9_0170.mp3
中高
/content/drive/MyDrive/1000sample/黒松.yomi000BA5A5_0420.mp3
平板
/content/drive/MyDrive/1000sample/黒松.yomi000BA5AE_00EC.mp3
/content/drive/MyDrive/1000sample/黒板ふき.yomi000BA5BE_07FC.mp3
中高
/content/drive/MyDrive/1000sample/黒曜石.yomi000BA59B_01D4.mp3
中高
/content/drive/MyDrive/1000sample/黒影.yomi000BA582_04B8.mp3
平板
/content/drive/MyDrive/1000sample/黒文字.yomi000BA58A_07D4.mp3
平板
/content/drive/MyDrive/1000sample/黒星.yomi000BA593_0218.mp3
中高
/content/drive/MyDrive/1000sample/黒幕.yomi000BA57A_0274.mp3
平板
/content/drive/MyDrive/1000sample/黒帯.yomi000BA572_01E0.mp3
平板
/content/drive/MyDrive/1000sample/黒板.yomi000BA5B6_0330.mp3
平板
/content/drive/MyDrive/1000sample/黒山.yomi000BA569_01B4.mp3
平板
/content/drive/MyDrive/1000sample/黒字.yomi000BA561_0558.mp3
平板
/content/drive/MyDrive/1000sample/黒塀.yomi000BA539_0424.mp3
平板
/content/drive/MyDrive/1000sample/黒塀.yomi000BA542_00F0.mp3
/content/drive/MyDrive/1000sample/黒子.yomi000BA559_059C.mp3
/content/drive/MyDrive/1000sample/黒地.yomi000BA531_07C8.mp3
平板
/content/drive/MyDrive/1000sample/黒土.yomi000BA529_065C.mp3
平板
/content/drive/MyDrive/1000sample/黒光り.yomi000BA504_053C.mp3
中高
/content/drive/MyDrive/1000sample/黒内障.yomi000BA51F_0698.mp3
中高
/content/drive/MyDrive/1000sample/黒光り.yomi000BA50D_0490.mp3
/content/drive/MyDrive/1000sample/黒八丈.yomi000BA516_03E4.mp3
中高
/content/drive/MyDrive/1000sample/黒子.yomi000BA552_0068.mp3
平板
/content/drive/MyDrive/1000sample/黒塗り.yomi000BA549_06FC.mp3
平板
/content/drive/MyDrive/1000sample/黒作り.yomi000BA4FB_06C0.mp3
中高
/content/drive/MyDrive/1000sample/黒人霊歌.yomi000BA4F1_0624.mp3
中高
/content/drive/MyDrive/1000sample/黒パン.yomi000BA4D7_0388.mp3
/content/drive/MyDrive/1000sample/黒ダイヤ.yomi000BA4CF_006C.mp3
/content/drive/MyDrive/1000sample/黙秘.yomi000BA7BE_0310.mp3
頭高
/content/drive/MyDrive/1000sample/黙示.yomi000BA79B_0048.mp3
平板
/content/drive/MyDrive/1000sample/黙示.yomi000BA7A3_0364.mp3
/content/drive/MyDrive/1000sample/黙礼.yomi000BA7B5_03BC.mp3
平板
/content/drive/MyDrive/1000sample/黙然.yomi000BA796_0726.mp3
平板
/content/drive/MyDrive/1000sample/黙る.yomi000BA762_0738.mp3
中高
/content/drive/MyDrive/1000sample/黙契.yomi000BA76F_00EE.mp3
平板
/content/drive/MyDrive/1000sample/黙想.yomi000BA778_0552.mp3
平板
/content/drive/MyDrive/1000sample/黙止.yomi000BA781_072E.mp3
頭高
/content/drive/MyDrive/1000sample/黙殺.yomi000BA78D_0622.mp3
平板
/content/drive/MyDrive/1000sample/黙示録.yomi000BA7AB_04D0.mp3
中高
/content/drive/MyDrive/1000sample/黙劇.yomi000BA766_019A.mp3
平板
/content/drive/MyDrive/1000sample/黙り込む.yomi000BA75E_053E.mp3
中高
/content/drive/MyDrive/1000sample/黙する.yomi000BA74B_02C6.mp3
中高
/content/drive/MyDrive/1000sample/黙々.yomi000BA741_058A.mp3
平板
/content/drive/MyDrive/1000sample/黙りこくる.yomi000BA75A_00BC.mp3
中高
/content/drive/MyDrive/1000sample/黒鳥.yomi000BA738_0486.mp3
平板
/content/drive/MyDrive/1000sample/黒髪.yomi000BA730_016A.mp3
/content/drive/MyDrive/1000sample/黒雲母.yomi000BA717_05FE.mp3
中高
/content/drive/MyDrive/1000sample/黒髪.yomi000BA728_00D6.mp3
中高
/content/drive/MyDrive/1000sample/黒雲.yomi000BA70E_034A.mp3
/content/drive/MyDrive/1000sample/黒靴.yomi000BA71F_040A.mp3
平板
/content/drive/MyDrive/1000sample/黙とう_黙祷.yomi000BA750_0608.mp3
平板
/content/drive/MyDrive/1000sample/黒雲.yomi000BA706_002E.mp3
平板
/content/drive/MyDrive/1000sample/黒鉛.yomi000BA6FD_0362.mp3
/content/drive/MyDrive/1000sample/黒装束.yomi000BA6DB_0392.mp3
中高
/content/drive/MyDrive/1000sample/黒豆.yomi000BA6E5_00CE.mp3
平板
/content/drive/MyDrive/1000sample/黒鉛.yomi000BA6F5_02CE.mp3
中高
/content/drive/MyDrive/1000sample/黒表.yomi000BA6D2_06C6.mp3
平板
/content/drive/MyDrive/1000sample/黒色.yomi000BA6BB_057A.mp3
平板
/content/drive/MyDrive/1000sample/黒衣.yomi000BA6CB_0192.mp3
/content/drive/MyDrive/1000sample/黒船.yomi000BA6B3_040E.mp3
平板
/content/drive/MyDrive/1000sample/黒衣.yomi000BA6C3_0386.mp3
頭高
/content/drive/MyDrive/1000sample/黒羽二重.yomi000BA6AA_0082.mp3
中高
/content/drive/MyDrive/1000sample/黒足袋.yomi000BA6ED_0312.mp3
平板
/content/drive/MyDrive/1000sample/黒糸.yomi000BA699_0322.mp3
平板
/content/drive/MyDrive/1000sample/黒線.yomi000BA6A1_063E.mp3
平板
/content/drive/MyDrive/1000sample/鼻曲がり.yomi000BA973_0428.mp3
/content/drive/MyDrive/1000sample/鼻声.yomi000BA94B_02CA.mp3
/content/drive/MyDrive/1000sample/鼻声.yomi000BA942_0016.mp3
平板
/content/drive/MyDrive/1000sample/鼻持ちならぬ.yomi000BA96C_043E.mp3
中高
/content/drive/MyDrive/1000sample/鼻先.yomi000BA938_07EA.mp3
平板
/content/drive/MyDrive/1000sample/鼻りょう_鼻梁.yomi000BA917_037A.mp3
平板
/content/drive/MyDrive/1000sample/鼻カタル.yomi000BA91F_00AE.mp3
中高
/content/drive/MyDrive/1000sample/鼻下長.yomi000BA927_0652.mp3
中高
/content/drive/MyDrive/1000sample/鼻の先.yomi000BA90E_0276.mp3
平板
/content/drive/MyDrive/1000sample/鼻元.yomi000BA930_03F6.mp3
平板
/content/drive/MyDrive/1000sample/鼻息.yomi000BA962_01F2.mp3
平板
/content/drive/MyDrive/1000sample/鼻孔.yomi000BA956_065E.mp3
平板
/content/drive/MyDrive/1000sample/鼻の下.yomi000BA905_0682.mp3
尾高
/content/drive/MyDrive/1000sample/鼻つまみ.yomi000BA8FC_0656.mp3
/content/drive/MyDrive/1000sample/鼻っ張り.yomi000BA8D4_0086.mp3
平板
/content/drive/MyDrive/1000sample/鼻っぱし.yomi000BA8CA_019A.mp3
/content/drive/MyDrive/1000sample/鼻つまみ.yomi000BA8F2_076A.mp3
平板
/content/drive/MyDrive/1000sample/鼻っかぜ.yomi000BA897_062A.mp3
/content/drive/MyDrive/1000sample/鼻っつまみ.yomi000BA8BC_044E.mp3
/content/drive/MyDrive/1000sample/鼻たけ_鼻茸.yomi000BA88E_06D6.mp3
平板
/content/drive/MyDrive/1000sample/鼻こう_鼻腔.yomi000BA88B_003C.mp3
平板
/content/drive/MyDrive/1000sample/鼻っつまみ.yomi000BA8B1_06A2.mp3
平板
/content/drive/MyDrive/1000sample/鼻っかぜ.yomi000BA8A1_05EE.mp3
/content/drive/MyDrive/1000sample/鼻っ面.yomi000BA8E9_0306.mp3
平板
/content/drive/MyDrive/1000sample/鼻っ柱.yomi000BA8DD_05C2.mp3
平板
/content/drive/MyDrive/1000sample/鼻くそ.yomi000BA882_07A8.mp3
平板
/content/drive/MyDrive/1000sample/鼓舞.yomi000BA856_073C.mp3
頭高
/content/drive/MyDrive/1000sample/鼓手.yomi000BA837_004C.mp3
頭高
/content/drive/MyDrive/1000sample/鼓笛隊.yomi000BA846_01DC.mp3
平板
/content/drive/MyDrive/1000sample/鼓膜.yomi000BA84F_0208.mp3
平板
/content/drive/MyDrive/1000sample/鼓吹.yomi000BA82F_0090.mp3
平板
/content/drive/MyDrive/1000sample/鼓笛.yomi000BA83E_0070.mp3
平板
/content/drive/MyDrive/1000sample/鼻.yomi000BA85B_03F8.mp3
平板
/content/drive/MyDrive/1000sample/鼻うそぶく.yomi000BA865_07F4.mp3
/content/drive/MyDrive/1000sample/鼻くう_鼻腔.yomi000BA87E_075E.mp3
平板
/content/drive/MyDrive/1000sample/鼻かぜ.yomi000BA873_0652.mp3
/content/drive/MyDrive/1000sample/鼻かぜ.yomi000BA86A_054E.mp3
/content/drive/MyDrive/1000sample/鼓動.yomi000BA826_064C.mp3
平板
/content/drive/MyDrive/1000sample/鼓.yomi000BA81F_01F0.mp3
尾高
/content/drive/MyDrive/1000sample/黙認.yomi000BA805_0104.mp3
平板
/content/drive/MyDrive/1000sample/黙読.yomi000BA80E_0058.mp3
平板
/content/drive/MyDrive/1000sample/黙過.yomi000BA816_06D4.mp3
平板
/content/drive/MyDrive/1000sample/黙許.yomi000BA7FD_0220.mp3
頭高
/content/drive/MyDrive/1000sample/黙秘権.yomi000BA7D2_01C0.mp3
中高
/content/drive/MyDrive/1000sample/黙考.yomi000BA7E7_0518.mp3
平板
/content/drive/MyDrive/1000sample/黙視.yomi000BA7F1_04DC.mp3
頭高
/content/drive/MyDrive/1000sample/黙約.yomi000BA7DE_04EC.mp3
平板
/content/drive/MyDrive/1000sample/黙秘.yomi000BA7CA_012C.mp3
/content/drive/MyDrive/1000sample/鼻高々.yomi000BAA89_05AC.mp3
/content/drive/MyDrive/1000sample/鼻面.yomi000BAA6B_054E.mp3
平板
/content/drive/MyDrive/1000sample/鼻音.yomi000BAA74_021A.mp3
平板
/content/drive/MyDrive/1000sample/鼻高.yomi000BAA7C_0386.mp3
平板
/content/drive/MyDrive/1000sample/鼻輪.yomi000BAA64_001A.mp3
平板
/content/drive/MyDrive/1000sample/鼻高々.yomi000BAA85_02DA.mp3
中高
/content/drive/MyDrive/1000sample/鼻詰まり.yomi000BAA5B_0786.mp3
/content/drive/MyDrive/1000sample/鼻詰まり.yomi000BAA53_02BA.mp3
平板
/content/drive/MyDrive/1000sample/鼻緒.yomi000BAA28_0546.mp3
平板
/content/drive/MyDrive/1000sample/鼻血.yomi000BAA4B_02FE.mp3
平板
/content/drive/MyDrive/1000sample/鼻緒ずれ_鼻緒擦れ.yomi000BAA30_05DA.mp3
/content/drive/MyDrive/1000sample/鼻綱.yomi000BAA1F_07A2.mp3
平板
/content/drive/MyDrive/1000sample/鼻紙.yomi000BAA16_05C6.mp3
平板
/content/drive/MyDrive/1000sample/鼻炎.yomi000BA9F9_0428.mp3
平板
/content/drive/MyDrive/1000sample/鼻筋.yomi000BAA0D_059A.mp3
平板
/content/drive/MyDrive/1000sample/鼻白む.yomi000BAA01_04BC.mp3
中高
/content/drive/MyDrive/1000sample/鼻眼鏡.yomi000BAA05_0356.mp3
中高
/content/drive/MyDrive/1000sample/鼻薬.yomi000BAA42_01FA.mp3
中高
/content/drive/MyDrive/1000sample/鼻翼.yomi000BAA3A_023E.mp3
平板
/content/drive/MyDrive/1000sample/鼻濁音.yomi000BA9EC_0164.mp3
/content/drive/MyDrive/1000sample/鼻濁音.yomi000BA9E2_0428.mp3
中高
/content/drive/MyDrive/1000sample/鼻木.yomi000BA987_07E8.mp3
平板
/content/drive/MyDrive/1000sample/鼻歌交じり.yomi000BA9B7_01A4.mp3
/content/drive/MyDrive/1000sample/鼻水.yomi000BA9C9_070C.mp3
平板
/content/drive/MyDrive/1000sample/鼻柱.yomi000BA999_0330.mp3
/content/drive/MyDrive/1000sample/鼻毛.yomi000BA9C1_05A0.mp3
平板
/content/drive/MyDrive/1000sample/鼻歌.yomi000BA9AE_0178.mp3
平板
/content/drive/MyDrive/1000sample/鼻柱.yomi000BA990_0154.mp3
平板
/content/drive/MyDrive/1000sample/鼻柱.yomi000BA9A2_01AC.mp3
/content/drive/MyDrive/1000sample/鼻汁.yomi000BA9DA_0394.mp3
平板
/content/drive/MyDrive/1000sample/鼻水.yomi000BA9D2_03D8.mp3
/content/drive/MyDrive/1000sample/鼻曲がり.yomi000BA97E_07BC.mp3

for fn in path.ls():
  print(fn)
  print(get_label(fn.name))

/content/drive/MyDrive/1000sample/高殿.yomi000B94CD_06B4.mp3
平板
/content/drive/MyDrive/1000sample/高根.yomi000B947A_02D2.mp3
平板
/content/drive/MyDrive/1000sample/高校生.yomi000B9470_0746.mp3
中高
/content/drive/MyDrive/1000sample/高松.yomi000B9450_026E.mp3
中高
/content/drive/MyDrive/1000sample/高札.yomi000B9448_02B2.mp3
平板
/content/drive/MyDrive/1000sample/高校.yomi000B9468_027A.mp3
平板
/content/drive/MyDrive/1000sample/高木.yomi000B9440_03CE.mp3
平板
/content/drive/MyDrive/1000sample/高揚.yomi000B9413_021A.mp3
平板
/content/drive/MyDrive/1000sample/高曇り.yomi000B9424_012A.mp3
平板
/content/drive/MyDrive/1000sample/高文.yomi000B941C_016E.mp3
平板
/content/drive/MyDrive/1000sample/高望み.yomi000B942D_0306.mp3
中高
/content/drive/MyDrive/1000sample/高架線.yomi000B945F_05AE.mp3
平板
/content/drive/MyDrive/1000sample/高架.yomi000B9458_03DA.mp3
頭高
/content/drive/MyDrive/1000sample/高所.yomi000B940A_07D6.mp3
頭高
/content/drive/MyDrive/1000sample/馬てい_馬蹄.yomi000B8921_00D8.mp3
平板
/content/drive/MyDrive/1000sample/香道.yomi000B88F0_03B0.mp3
平板
/content/drive/MyDrive/1000sample/馬そり_馬橇.yomi000B890D_03D8.mp3
平板
/content/drive/MyDrive/1000sample/馬てい型_馬蹄型.yomi000B8929_031C.mp3
平板
/content/drive/MyDrive/1000sample/馬てい形_馬蹄形.yomi000B8932_0780.mp3
平板
/content/drive/MyDrive/1000sample/馬.yomi000B8907_00C4.mp3
尾高
/content/drive/MyDrive/1000sample/香辛料.yomi000B88E5_06DC.mp3
中高
/content/drive/MyDrive/1000sample/馬の足.yomi000B8950_0294.mp3
尾高
/content/drive/MyDrive/1000sample/香魚.yomi000B8900_04D8.mp3
頭高
/content/drive/MyDrive/1000sample/馬小屋.yomi000B8A07_03F4.mp3
平板
/content/drive/MyDrive/1000sample/馬主.yomi000B8981_0754.mp3
頭高
/content/drive/MyDrive/1000sample/馬子.yomi000B89E9_03D0.mp3
頭高
/content/drive/MyDrive/1000sample/馬術.yomi000B8A5E_06E4.mp3
頭高
/content/drive/MyDrive/1000sample/馬乗り.yomi000B8989_0638.mp3
平板
/content/drive/MyDrive/1000sample/馬耕.yomi000B8A30_0598.mp3
平板
/content/drive/MyDrive/1000sample/馬具.yomi000B89B2_07CC.mp3
頭高
/content/drive/MyDrive/1000sample/馬匹.yomi000B89D1_07FC.mp3
平板
/content/drive/MyDrive/1000sample/馬券.yomi000B89B9_0568.mp3
平板
/content/drive/MyDrive/1000sample/馬車.yomi000B8A6C_072C.mp3
頭高
/content/drive/MyDrive/1000sample/馬前.yomi000B89C2_0084.mp3
平板
/content/drive/MyDrive/1000sample/馬車馬.yomi000B8A7A_0774.mp3
平板
/content/drive/MyDrive/1000sample/馬ふん紙.yomi000B8961_0354.mp3
中高
/content/drive/MyDrive/1000sample/馬盗人.yomi000B8A26_0784.mp3
中高
/content/drive/MyDrive/1000sample/馬屋.yomi000B8A0F_0710.mp3
平板
/content/drive/MyDrive/1000sample/馬市.yomi000B8A17_0294.mp3
中高
/content/drive/MyDrive/1000sample/馬返し.yomi000B8A84_0150.mp3
中高
/content/drive/MyDrive/1000sample/馬車屋.yomi000B8A73_04C8.mp3
中高
/content/drive/MyDrive/1000sample/馬場.yomi000B89E2_0634.mp3
頭高
/content/drive/MyDrive/1000sample/馬れん_馬簾.yomi000B896A_0020.mp3
平板
/content/drive/MyDrive/1000sample/馬賊.yomi000B8A65_07E0.mp3
頭高
/content/drive/MyDrive/1000sample/馬子唄.yomi000B89FE_0728.mp3
中高
/content/drive/MyDrive/1000sample/馬ふん_馬糞.yomi000B8959_0548.mp3
平板
/content/drive/MyDrive/1000sample/馬脚.yomi000B8A4E_0694.mp3
平板
/content/drive/MyDrive/1000sample/馬耳東風.yomi000B8A38_0554.mp3
頭高
/content/drive/MyDrive/1000sample/馬子にも衣装.yomi000B89F1_0614.mp3
頭高
/content/drive/MyDrive/1000sample/馬印.yomi000B89D9_07B8.mp3
中高
/content/drive/MyDrive/1000sample/馬上.yomi000B8971_03A4.mp3
平板
/content/drive/MyDrive/1000sample/馬力.yomi000B89C9_0690.mp3
平板
/content/drive/MyDrive/1000sample/馬体.yomi000B89AA_0738.mp3
平板
/content/drive/MyDrive/1000sample/馬腹.yomi000B8A56_0728.mp3
平板
/content/drive/MyDrive/1000sample/馬主.yomi000B8979_05E8.mp3
中高
/content/drive/MyDrive/1000sample/馬肉.yomi000B8A46_0378.mp3
平板
/content/drive/MyDrive/1000sample/馬面.yomi000B8AA6_0480.mp3
平板
/content/drive/MyDrive/1000sample/駄弁.yomi000B8AE3_0684.mp3
平板
/content/drive/MyDrive/1000sample/駄菓子屋.yomi000B8B14_004C.mp3
平板
/content/drive/MyDrive/1000sample/駅弁.yomi000B8B83_0780.mp3
平板
/content/drive/MyDrive/1000sample/駅舎.yomi000B8B9E_03CC.mp3
頭高
/content/drive/MyDrive/1000sample/駄菓子.yomi000B8B04_0794.mp3
平板
/content/drive/MyDrive/1000sample/駅.yomi000B8B2C_02E0.mp3
頭高
/content/drive/MyDrive/1000sample/馬齢.yomi000B8ACC_0610.mp3
平板
/content/drive/MyDrive/1000sample/馬追い虫.yomi000B8A9C_0744.mp3
中高
/content/drive/MyDrive/1000sample/馬頭観音.yomi000B8ABB_0118.mp3
中高
/content/drive/MyDrive/1000sample/駄物.yomi000B8AF5_00F4.mp3
平板
/content/drive/MyDrive/1000sample/駄文.yomi000B8AED_0138.mp3
平板
/content/drive/MyDrive/1000sample/駅伝.yomi000B8B3B_0470.mp3
平板
/content/drive/MyDrive/1000sample/馬追い.yomi000B8A8C_0544.mp3
平板
/content/drive/MyDrive/1000sample/駅員.yomi000B8B69_076C.mp3
中高
/content/drive/MyDrive/1000sample/馬頭観世音.yomi000B8AAF_0074.mp3
中高
/content/drive/MyDrive/1000sample/駅伝競走.yomi000B8B44_013C.mp3
中高
/content/drive/MyDrive/1000sample/駄犬.yomi000B8AFC_0700.mp3
平板
/content/drive/MyDrive/1000sample/駄句.yomi000B8ADC_0738.mp3
頭高
/content/drive/MyDrive/1000sample/駅渡し.yomi000B8B95_0040.mp3
中高
/content/drive/MyDrive/1000sample/駄賃.yomi000B8B1D_0150.mp3
平板
/content/drive/MyDrive/1000sample/駄作.yomi000B8AD4_0344.mp3
平板
/content/drive/MyDrive/1000sample/駅名.yomi000B8B61_00F0.mp3
平板
/content/drive/MyDrive/1000sample/駄馬.yomi000B8B25_0394.mp3
頭高
/content/drive/MyDrive/1000sample/駅売り.yomi000B8B7B_01DC.mp3
平板
/content/drive/MyDrive/1000sample/馬首.yomi000B8AC6_0074.mp3
頭高
/content/drive/MyDrive/1000sample/駅止め.yomi000B8B8C_044C.mp3
平板
/content/drive/MyDrive/1000sample/駅前.yomi000B8B4F_0680.mp3
中高
/content/drive/MyDrive/1000sample/駆け出す.yomi000B8C1B_022A.mp3
中高
/content/drive/MyDrive/1000sample/駅長.yomi000B8BAE_026C.mp3
平板
/content/drive/MyDrive/1000sample/駆け巡る.yomi000B8C33_0086.mp3
中高
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中高
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中高
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中高
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中高
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平板
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平板
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中高
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平板
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平板
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平板
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中高
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中高
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中高
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平板
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中高
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中高
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頭高
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頭高
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平板
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平板
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平板
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中高
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平板
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中高
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平板
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平板
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頭高
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平板
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平板
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中高
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中高
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平板
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平板
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中高
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頭高
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平板
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中高
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中高
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平板
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平板
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中高
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中高
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頭高
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中高
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中高
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中高
/content/drive/MyDrive/1000sample/鬼子.yomi000B98EA_028C.mp3
中高
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平板
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中高
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尾高
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平板
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中高
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平板
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平板
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中高
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中高
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尾高
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平板
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平板
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中高
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中高
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平板
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中高
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中高
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平板
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平板
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平板
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中高
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中高
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平板
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平板
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平板
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平板
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平板
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頭高
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平板
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平板
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平板
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頭高
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平板
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平板
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中高
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平板
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中高
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平板
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平板
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平板
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頭高
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頭高
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頭高
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中高
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平板
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頭高
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頭高
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平板
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平板
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平板
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平板
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平板
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平板
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中高
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中高
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頭高
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平板
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頭高
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中高
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平板
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中高
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尾高
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平板
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平板
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平板
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平板
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平板
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平板
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中高
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平板
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平板
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中高
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平板
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平板
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平板
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中高
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中高
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頭高
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平板
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中高
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中高
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中高
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平板
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頭高
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平板
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平板
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平板
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平板
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頭高
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中高
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中高
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平板
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平板
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平板
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頭高
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平板
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平板
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平板
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平板
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平板
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中高
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尾高
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平板
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中高
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平板
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平板
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中高
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平板
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平板
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平板
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平板
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平板
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平板
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平板
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平板
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平板
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中高
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平板
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平板
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中高
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中高
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平板
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頭高
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平板
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中高
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中高
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平板
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中高
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中高
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平板
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平板
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平板
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平板
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平板
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平板
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平板
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平板
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中高
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中高
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中高
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平板
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平板
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平板
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平板
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平板
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平板
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平板
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中高
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平板
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平板
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中高
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中高
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中高
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平板
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平板
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中高
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平板
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中高
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平板
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平板
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中高
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頭高
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平板
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平板
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頭高
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平板
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平板
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平板
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中高
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中高
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中高
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平板
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平板
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頭高
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中高
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平板
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中高
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中高
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平板
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平板
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頭高
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平板
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平板
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平板
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平板
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中高
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中高
/content/drive/MyDrive/1000sample/黄白.yomi000BA2F9_0058.mp3
頭高
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平板
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頭高
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平板
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平板
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dls = audpitch.dataloaders(path, bs=64)

dls.show_batch(max_n=5)

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-155-0d9e63801e38> in <module>()
----> 1 dls.show_batch(max_n=5)

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in show_batch(self, b, max_n, ctxs, show, unique, **kwargs)
    100         if b is None: b = self.one_batch()
    101         if not show: return self._pre_show_batch(b, max_n=max_n)
--> 102         show_batch(*self._pre_show_batch(b, max_n=max_n), ctxs=ctxs, max_n=max_n, **kwargs)
    103         if unique: self.get_idxs = old_get_idxs
    104 

/usr/local/lib/python3.7/dist-packages/fastcore/dispatch.py in __call__(self, *args, **kwargs)
    115         elif self.inst is not None: f = MethodType(f, self.inst)
    116         elif self.owner is not None: f = MethodType(f, self.owner)
--> 117         return f(*args, **kwargs)
    118 
    119     def __get__(self, inst, owner):

/usr/local/lib/python3.7/dist-packages/fastaudio/core/spectrogram.py in show_batch(x, y, samples, ctxs, max_n, nrows, ncols, figsize, **kwargs)
    116             min(len(samples), max_n), nrows=nrows, ncols=ncols, figsize=figsize
    117         )
--> 118     ctxs = show_batch[object](x, y, samples, ctxs=ctxs, max_n=max_n, **kwargs)
    119     return ctxs
    120 

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in show_batch(x, y, samples, ctxs, max_n, **kwargs)
     16     else:
     17         for i in range_of(samples[0]):
---> 18             ctxs = [b.show(ctx=c, **kwargs) for b,c,_ in zip(samples.itemgot(i),ctxs,range(max_n))]
     19     return ctxs
     20 

/usr/local/lib/python3.7/dist-packages/fastai/data/core.py in <listcomp>(.0)
     16     else:
     17         for i in range_of(samples[0]):
---> 18             ctxs = [b.show(ctx=c, **kwargs) for b,c,_ in zip(samples.itemgot(i),ctxs,range(max_n))]
     19     return ctxs
     20 

/usr/local/lib/python3.7/dist-packages/fastaudio/core/spectrogram.py in show(self, ctx, ax, title, **kwargs)
     75     def show(self, ctx=None, ax=None, title="", **kwargs):
     76         "Show spectrogram using librosa"
---> 77         return show_spectrogram(self, ctx=ctx, ax=ax, title=title, **kwargs)
     78 
     79 

/usr/local/lib/python3.7/dist-packages/fastaudio/core/spectrogram.py in show_spectrogram(sg, title, ax, ctx, **kwargs)
     87         ia = ax.inset_axes((i / sg.nchannels, 0.2, 1 / sg.nchannels, 0.7))
     88         z = specshow(
---> 89             channel.cpu().numpy(), ax=ia, **sg._all_show_args(show_y=i == 0), **kwargs
     90         )
     91         ia.set_title(f"Channel {i}")

/usr/local/lib/python3.7/dist-packages/fastaudio/core/spectrogram.py in _all_show_args(self, show_y)
     50     def _all_show_args(self, show_y: bool = True):
     51         proper_kwargs = get_usable_kwargs(
---> 52             specshow, self._settings, exclude=["ax", "kwargs", "data"]
     53         )
     54         if "mel" not in self._settings or not show_y:

/usr/local/lib/python3.7/dist-packages/fastaudio/core/spectrogram.py in __getattr__(self, name)
     70             return self._settings[name]
     71         raise AttributeError(
---> 72             f"{self.__class__.__name__} object has no attribute {name}"
     73         )
     74 

AttributeError: AudioSpectrogram object has no attribute _settings
learn = Learner(dls, xresnet18(), CrossEntropyLossFlat(), metrics=accuracy)

learn.lr_find()

---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-157-d81c6bd29d71> in <module>()
----> 1 learn.lr_find()

/usr/local/lib/python3.7/dist-packages/fastai/callback/schedule.py in lr_find(self, start_lr, end_lr, num_it, stop_div, show_plot, suggestions)
    222     n_epoch = num_it//len(self.dls.train) + 1
    223     cb=LRFinder(start_lr=start_lr, end_lr=end_lr, num_it=num_it, stop_div=stop_div)
--> 224     with self.no_logging(): self.fit(n_epoch, cbs=cb)
    225     if show_plot: self.recorder.plot_lr_find()
    226     if suggestions:

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
    203             self.opt.set_hypers(lr=self.lr if lr is None else lr)
    204             self.n_epoch = n_epoch
--> 205             self._with_events(self._do_fit, 'fit', CancelFitException, self._end_cleanup)
    206 
    207     def _end_cleanup(self): self.dl,self.xb,self.yb,self.pred,self.loss = None,(None,),(None,),None,None

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_fit(self)
    194         for epoch in range(self.n_epoch):
    195             self.epoch=epoch
--> 196             self._with_events(self._do_epoch, 'epoch', CancelEpochException)
    197 
    198     def fit(self, n_epoch, lr=None, wd=None, cbs=None, reset_opt=False):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_epoch(self)
    188 
    189     def _do_epoch(self):
--> 190         self._do_epoch_train()
    191         self._do_epoch_validate()
    192 

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_epoch_train(self)
    180     def _do_epoch_train(self):
    181         self.dl = self.dls.train
--> 182         self._with_events(self.all_batches, 'train', CancelTrainException)
    183 
    184     def _do_epoch_validate(self, ds_idx=1, dl=None):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in all_batches(self)
    158     def all_batches(self):
    159         self.n_iter = len(self.dl)
--> 160         for o in enumerate(self.dl): self.one_batch(*o)
    161 
    162     def _do_one_batch(self):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in one_batch(self, i, b)
    176         self.iter = i
    177         self._split(b)
--> 178         self._with_events(self._do_one_batch, 'batch', CancelBatchException)
    179 
    180     def _do_epoch_train(self):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_one_batch(self)
    161 
    162     def _do_one_batch(self):
--> 163         self.pred = self.model(*self.xb)
    164         self('after_pred')
    165         if len(self.yb): self.loss = self.loss_func(self.pred, *self.yb)

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
   1049         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1050                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051             return forward_call(*input, **kwargs)
   1052         # Do not call functions when jit is used
   1053         full_backward_hooks, non_full_backward_hooks = [], []

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py in forward(self, input)
    137     def forward(self, input):
    138         for module in self:
--> 139             input = module(input)
    140         return input
    141 

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
   1049         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1050                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051             return forward_call(*input, **kwargs)
   1052         # Do not call functions when jit is used
   1053         full_backward_hooks, non_full_backward_hooks = [], []

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py in forward(self, input)
    137     def forward(self, input):
    138         for module in self:
--> 139             input = module(input)
    140         return input
    141 

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
   1049         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1050                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051             return forward_call(*input, **kwargs)
   1052         # Do not call functions when jit is used
   1053         full_backward_hooks, non_full_backward_hooks = [], []

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py in forward(self, input)
    441 
    442     def forward(self, input: Tensor) -> Tensor:
--> 443         return self._conv_forward(input, self.weight, self.bias)
    444 
    445 class Conv3d(_ConvNd):

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py in _conv_forward(self, input, weight, bias)
    438                             _pair(0), self.dilation, self.groups)
    439         return F.conv2d(input, weight, bias, self.stride,
--> 440                         self.padding, self.dilation, self.groups)
    441 
    442     def forward(self, input: Tensor) -> Tensor:

/usr/local/lib/python3.7/dist-packages/fastai/torch_core.py in __torch_function__(self, func, types, args, kwargs)
    315 
    316     def __torch_function__(self, func, types, args=(), kwargs=None):
--> 317         with torch._C.DisableTorchFunction(): ret = _convert(func(*args, **(kwargs or {})), self.__class__)
    318         if isinstance(ret, TensorBase): ret.set_meta(self, as_copy=True)
    319         return ret

RuntimeError: Given groups=1, weight of size [32, 3, 3, 3], expected input[64, 1, 128, 251] to have 3 channels, but got 1 channels instead
learn.fit_one_cycle(1)
epoch train_loss valid_loss accuracy time
0 0.000000 00:13 
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-159-4dfb24161c57> in <module>()
----> 1 learn.fit_one_cycle(1)

/usr/local/lib/python3.7/dist-packages/fastai/callback/schedule.py in fit_one_cycle(self, n_epoch, lr_max, div, div_final, pct_start, wd, moms, cbs, reset_opt)
    110     scheds = {'lr': combined_cos(pct_start, lr_max/div, lr_max, lr_max/div_final),
    111               'mom': combined_cos(pct_start, *(self.moms if moms is None else moms))}
--> 112     self.fit(n_epoch, cbs=ParamScheduler(scheds)+L(cbs), reset_opt=reset_opt, wd=wd)
    113 
    114 # Cell

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in fit(self, n_epoch, lr, wd, cbs, reset_opt)
    203             self.opt.set_hypers(lr=self.lr if lr is None else lr)
    204             self.n_epoch = n_epoch
--> 205             self._with_events(self._do_fit, 'fit', CancelFitException, self._end_cleanup)
    206 
    207     def _end_cleanup(self): self.dl,self.xb,self.yb,self.pred,self.loss = None,(None,),(None,),None,None

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_fit(self)
    194         for epoch in range(self.n_epoch):
    195             self.epoch=epoch
--> 196             self._with_events(self._do_epoch, 'epoch', CancelEpochException)
    197 
    198     def fit(self, n_epoch, lr=None, wd=None, cbs=None, reset_opt=False):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_epoch(self)
    188 
    189     def _do_epoch(self):
--> 190         self._do_epoch_train()
    191         self._do_epoch_validate()
    192 

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_epoch_train(self)
    180     def _do_epoch_train(self):
    181         self.dl = self.dls.train
--> 182         self._with_events(self.all_batches, 'train', CancelTrainException)
    183 
    184     def _do_epoch_validate(self, ds_idx=1, dl=None):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in all_batches(self)
    158     def all_batches(self):
    159         self.n_iter = len(self.dl)
--> 160         for o in enumerate(self.dl): self.one_batch(*o)
    161 
    162     def _do_one_batch(self):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in one_batch(self, i, b)
    176         self.iter = i
    177         self._split(b)
--> 178         self._with_events(self._do_one_batch, 'batch', CancelBatchException)
    179 
    180     def _do_epoch_train(self):

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _with_events(self, f, event_type, ex, final)
    152 
    153     def _with_events(self, f, event_type, ex, final=noop):
--> 154         try:       self(f'before_{event_type}')       ;f()
    155         except ex: self(f'after_cancel_{event_type}')
    156         finally:   self(f'after_{event_type}')        ;final()

/usr/local/lib/python3.7/dist-packages/fastai/learner.py in _do_one_batch(self)
    161 
    162     def _do_one_batch(self):
--> 163         self.pred = self.model(*self.xb)
    164         self('after_pred')
    165         if len(self.yb): self.loss = self.loss_func(self.pred, *self.yb)

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
   1049         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1050                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051             return forward_call(*input, **kwargs)
   1052         # Do not call functions when jit is used
   1053         full_backward_hooks, non_full_backward_hooks = [], []

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py in forward(self, input)
    137     def forward(self, input):
    138         for module in self:
--> 139             input = module(input)
    140         return input
    141 

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
   1049         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1050                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051             return forward_call(*input, **kwargs)
   1052         # Do not call functions when jit is used
   1053         full_backward_hooks, non_full_backward_hooks = [], []

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/container.py in forward(self, input)
    137     def forward(self, input):
    138         for module in self:
--> 139             input = module(input)
    140         return input
    141 

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in _call_impl(self, *input, **kwargs)
   1049         if not (self._backward_hooks or self._forward_hooks or self._forward_pre_hooks or _global_backward_hooks
   1050                 or _global_forward_hooks or _global_forward_pre_hooks):
-> 1051             return forward_call(*input, **kwargs)
   1052         # Do not call functions when jit is used
   1053         full_backward_hooks, non_full_backward_hooks = [], []

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py in forward(self, input)
    441 
    442     def forward(self, input: Tensor) -> Tensor:
--> 443         return self._conv_forward(input, self.weight, self.bias)
    444 
    445 class Conv3d(_ConvNd):

/usr/local/lib/python3.7/dist-packages/torch/nn/modules/conv.py in _conv_forward(self, input, weight, bias)
    438                             _pair(0), self.dilation, self.groups)
    439         return F.conv2d(input, weight, bias, self.stride,
--> 440                         self.padding, self.dilation, self.groups)
    441 
    442     def forward(self, input: Tensor) -> Tensor:

/usr/local/lib/python3.7/dist-packages/fastai/torch_core.py in __torch_function__(self, func, types, args, kwargs)
    315 
    316     def __torch_function__(self, func, types, args=(), kwargs=None):
--> 317         with torch._C.DisableTorchFunction(): ret = _convert(func(*args, **(kwargs or {})), self.__class__)
    318         if isinstance(ret, TensorBase): ret.set_meta(self, as_copy=True)
    319         return ret

RuntimeError: Given groups=1, weight of size [32, 3, 3, 3], expected input[64, 1, 128, 251] to have 3 channels, but got 1 channels instead
n_c = dls.one_batch()[0].shape[1]; n_c

1
def alter_learner(learn, n_channels=1):
  "Adjust a `Learner`'s model to accept `1` channel"
  layer = learn.model[0][0]
  layer.in_channels=n_channels
  layer.weight = nn.Parameter(layer.weight[:,1,:,:].unsqueeze(1))
  learn.model[0][0] = layer

alter_learner(learn, n_c)

learn.lr_find()

/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at  /pytorch/c10/core/TensorImpl.h:1156.)
  return torch.max_pool2d(input, kernel_size, stride, padding, dilation, ceil_mode)

SuggestedLRs(lr_min=0.03019951581954956, lr_steep=0.00363078061491251)
learn.fit_one_cycle(5, 1e-3)
epoch train_loss valid_loss accuracy time
0 0.250854 0.228218 0.937931 00:12
1 0.246093 1.324811 0.544828 00:12
2 0.241305 0.378529 0.882759 00:12
3 0.232387 0.211727 0.951724 00:12
4 0.225047 0.219429 0.965517 00:12 
learn.fit_one_cycle(5, 1e-4)
epoch train_loss valid_loss accuracy time
0 0.204818 0.208217 0.958621 00:12
1 0.204138 0.206059 0.951724 00:12
2 0.202360 0.217017 0.958621 00:12
3 0.198590 0.214045 0.958621 00:12
4 0.198357 0.220390 0.944828 00:12 
train = dls.train

train.sorted

(#2) [<bound method L.sorted of TfmdLists: [Path('/content/drive/MyDrive/1000sample/高積雲.yomi000B9552_02BA.mp3'), Path('/content/drive/MyDrive/1000sample/鬼才.yomi000B990C_00AC.mp3'), Path('/content/drive/MyDrive/1000sample/馬具.yomi000B89B2_07CC.mp3'), Path('/content/drive/MyDrive/1000sample/鬼神.yomi000B9951_07F0.mp3'), Path('/content/drive/MyDrive/1000sample/高圧.yomi000B928A_04F8.mp3'), Path('/content/drive/MyDrive/1000sample/黙考.yomi000BA7E7_0518.mp3'), Path('/content/drive/MyDrive/1000sample/魔女.yomi000B9A51_024C.mp3'), Path('/content/drive/MyDrive/1000sample/鼻っ面.yomi000BA8E9_0306.mp3'), Path('/content/drive/MyDrive/1000sample/高潔.yomi000B94F9_0210.mp3'), Path('/content/drive/MyDrive/1000sample/高射砲.yomi000B932B_068E.mp3'), Path('/content/drive/MyDrive/1000sample/騒々しい.yomi000B8D9A_05F4.mp3'), Path('/content/drive/MyDrive/1000sample/黙々.yomi000BA741_058A.mp3'), Path('/content/drive/MyDrive/1000sample/駆虫剤.yomi000B8CAE_07C0.mp3'), 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Path('/content/drive/MyDrive/1000sample/高僧.yomi000B9207_0794.mp3'), Path('/content/drive/MyDrive/1000sample/高揚.yomi000B9413_021A.mp3'), Path('/content/drive/MyDrive/1000sample/魔境.yomi000B9A49_00E0.mp3'), Path('/content/drive/MyDrive/1000sample/黒み.yomi000BA4AE_06F4.mp3'), Path('/content/drive/MyDrive/1000sample/麻の葉.yomi000BA1DB_02DC.mp3'), Path('/content/drive/MyDrive/1000sample/駆け戻る.yomi000B8C4C_053A.mp3'), Path('/content/drive/MyDrive/1000sample/驚異.yomi000B8EA7_0052.mp3'), Path('/content/drive/MyDrive/1000sample/高利.yomi000B922E_0634.mp3'), Path('/content/drive/MyDrive/1000sample/鳴海絞り.yomi000B9F2C_004C.mp3'), Path('/content/drive/MyDrive/1000sample/髪洗い.yomi000B9812_0090.mp3'), Path('/content/drive/MyDrive/1000sample/鳥羽絵.yomi000B9E0F_0612.mp3'), Path('/content/drive/MyDrive/1000sample/馬の足.yomi000B8950_0294.mp3'), Path('/content/drive/MyDrive/1000sample/黒靴.yomi000BA71F_040A.mp3'), Path('/content/drive/MyDrive/1000sample/魚市場.yomi000B9B5C_01FC.mp3'), 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Path('/content/drive/MyDrive/1000sample/鳥貝.yomi000B9E48_00D2.mp3'), Path('/content/drive/MyDrive/1000sample/高騰.yomi000B9792_0292.mp3'), Path('/content/drive/MyDrive/1000sample/騎乗.yomi000B8D46_0080.mp3'), Path('/content/drive/MyDrive/1000sample/高層気象台.yomi000B9354_0172.mp3'), Path('/content/drive/MyDrive/1000sample/髪飾り.yomi000B9874_01F4.mp3'), Path('/content/drive/MyDrive/1000sample/魚心.yomi000B9B74_0208.mp3'), Path('/content/drive/MyDrive/1000sample/駄文.yomi000B8AED_0138.mp3'), Path('/content/drive/MyDrive/1000sample/高論.yomi000B967A_029C.mp3'), Path('/content/drive/MyDrive/1000sample/鯨油.yomi000B9CB8_0512.mp3'), Path('/content/drive/MyDrive/1000sample/駆ける.yomi000B8BFD_06DC.mp3'), Path('/content/drive/MyDrive/1000sample/黙り込む.yomi000BA75E_053E.mp3'), Path('/content/drive/MyDrive/1000sample/高山.yomi000B9369_067A.mp3'), Path('/content/drive/MyDrive/1000sample/騎士.yomi000B8D5F_07BC.mp3'), Path('/content/drive/MyDrive/1000sample/麻.yomi000BA1BE_0614.mp3'), Path('/content/drive/MyDrive/1000sample/馬市.yomi000B8A17_0294.mp3'), Path('/content/drive/MyDrive/1000sample/骨相学.yomi000B8FF4_0018.mp3'), Path('/content/drive/MyDrive/1000sample/麗日.yomi000BA021_02D4.mp3'), Path('/content/drive/MyDrive/1000sample/鮮やか.yomi000B9C42_007C.mp3'), Path('/content/drive/MyDrive/1000sample/黒字.yomi000BA561_0558.mp3'), Path('/content/drive/MyDrive/1000sample/髪癖.yomi000B981A_01FC.mp3'), Path('/content/drive/MyDrive/1000sample/黄土.yomi000BA293_0010.mp3'), Path('/content/drive/MyDrive/1000sample/魔物.yomi000B9AA1_01B8.mp3'), Path('/content/drive/MyDrive/1000sample/黒衣.yomi000BA6C3_0386.mp3'), Path('/content/drive/MyDrive/1000sample/黙契.yomi000BA76F_00EE.mp3'), Path('/content/drive/MyDrive/1000sample/黄綬褒章.yomi000BA308_0620.mp3'), Path('/content/drive/MyDrive/1000sample/馬力.yomi000B89C9_0690.mp3'), Path('/content/drive/MyDrive/1000sample/鮮魚.yomi000B9C69_0616.mp3'), Path('/content/drive/MyDrive/1000sample/麦茶.yomi000BA183_0418.mp3'), Path('/content/drive/MyDrive/1000sample/黒水引.yomi000BA5DB_0018.mp3'), Path('/content/drive/MyDrive/1000sample/黒塀.yomi000BA539_0424.mp3'), Path('/content/drive/MyDrive/1000sample/黙秘.yomi000BA7BE_0310.mp3'), Path('/content/drive/MyDrive/1000sample/黒影.yomi000BA582_04B8.mp3'), Path('/content/drive/MyDrive/1000sample/黙示.yomi000BA79B_0048.mp3'), Path('/content/drive/MyDrive/1000sample/黙認.yomi000BA805_0104.mp3'), Path('/content/drive/MyDrive/1000sample/高座.yomi000B939B_018A.mp3'), Path('/content/drive/MyDrive/1000sample/麦とろ.yomi000BA081_0440.mp3'), Path('/content/drive/MyDrive/1000sample/騰写版.yomi000B8E25_075C.mp3'), Path('/content/drive/MyDrive/1000sample/麦わら_麦藁.yomi000BA0BE_0348.mp3'), Path('/content/drive/MyDrive/1000sample/黄道吉日.yomi000BA395_067E.mp3'), Path('/content/drive/MyDrive/1000sample/鶏肉.yomi000B9F7F_0618.mp3'), Path('/content/drive/MyDrive/1000sample/骨折.yomi000B8F1E_03E2.mp3'), Path('/content/drive/MyDrive/1000sample/鳥打ち帽.yomi000B9DBD_0202.mp3'), Path('/content/drive/MyDrive/1000sample/高音.yomi000B9739_03E2.mp3'), Path('/content/drive/MyDrive/1000sample/黒穂病.yomi000BA690_006E.mp3'), Path('/content/drive/MyDrive/1000sample/高層.yomi000B9342_0552.mp3'), Path('/content/drive/MyDrive/1000sample/骨惜しみ.yomi000B8F15_0716.mp3'), Path('/content/drive/MyDrive/1000sample/高島田.yomi000B9384_003E.mp3'), Path('/content/drive/MyDrive/1000sample/駅伝.yomi000B8B3B_0470.mp3'), Path('/content/drive/MyDrive/1000sample/黒作り.yomi000BA4FB_06C0.mp3'), Path('/content/drive/MyDrive/1000sample/鳥網.yomi000B9E07_0656.mp3'), Path('/content/drive/MyDrive/1000sample/鶏卵.yomi000B9F6E_0120.mp3'), Path('/content/drive/MyDrive/1000sample/骨材.yomi000B8FA6_0774.mp3'), Path('/content/drive/MyDrive/1000sample/鳥類.yomi000B9E7A_0156.mp3'), Path('/content/drive/MyDrive/1000sample/馬前.yomi000B89C2_0084.mp3'), Path('/content/drive/MyDrive/1000sample/鼻白む.yomi000BAA01_04BC.mp3'), Path('/content/drive/MyDrive/1000sample/麗しい.yomi000BA004_0496.mp3'), Path('/content/drive/MyDrive/1000sample/高まる.yomi000B9194_0774.mp3'), Path('/content/drive/MyDrive/1000sample/黄金律.yomi000BA3F0_0162.mp3'), Path('/content/drive/MyDrive/1000sample/高飛車.yomi000B9789_033E.mp3'), Path('/content/drive/MyDrive/1000sample/馬そり_馬橇.yomi000B890D_03D8.mp3'), Path('/content/drive/MyDrive/1000sample/鬼打ち豆.yomi000B9913_0508.mp3'), Path('/content/drive/MyDrive/1000sample/鼻くそ.yomi000BA882_07A8.mp3'), Path('/content/drive/MyDrive/1000sample/黙想.yomi000BA778_0552.mp3'), Path('/content/drive/MyDrive/1000sample/鳴門わかめ_鳴門若布.yomi000B9F35_0738.mp3'), Path('/content/drive/MyDrive/1000sample/魔法使い.yomi000B9A7E_02C4.mp3'), Path('/content/drive/MyDrive/1000sample/駆除.yomi000B8CC8_0474.mp3'), Path('/content/drive/MyDrive/1000sample/駅員.yomi000B8B69_076C.mp3'), Path('/content/drive/MyDrive/1000sample/験.yomi000B8E04_064C.mp3'), Path('/content/drive/MyDrive/1000sample/黄金分割.yomi000BA3E5_03B6.mp3'), Path('/content/drive/MyDrive/1000sample/馬齢.yomi000B8ACC_0610.mp3'), Path('/content/drive/MyDrive/1000sample/鼓吹.yomi000BA82F_0090.mp3'), Path('/content/drive/MyDrive/1000sample/麗筆.yomi000BA029_0440.mp3'), Path('/content/drive/MyDrive/1000sample/高遠.yomi000B9704_05D2.mp3'), Path('/content/drive/MyDrive/1000sample/鳴り響く.yomi000B9F00_06A0.mp3'), Path('/content/drive/MyDrive/1000sample/麻織り.yomi000BA1FD_0758.mp3'), Path('/content/drive/MyDrive/1000sample/麗し.yomi000B9FFC_0252.mp3'), Path('/content/drive/MyDrive/1000sample/鹿鳴館.yomi000B9FE5_0650.mp3'), Path('/content/drive/MyDrive/1000sample/馬首.yomi000B8AC6_0074.mp3'), Path('/content/drive/MyDrive/1000sample/黒羽二重.yomi000BA6AA_0082.mp3'), Path('/content/drive/MyDrive/1000sample/高等弁務官.yomi000B95A3_05BC.mp3'), Path('/content/drive/MyDrive/1000sample/高々と.yomi000B90FE_0584.mp3'), Path('/content/drive/MyDrive/1000sample/馬子唄.yomi000B89FE_0728.mp3'), Path('/content/drive/MyDrive/1000sample/験電器.yomi000B8E15_055C.mp3'), Path('/content/drive/MyDrive/1000sample/黙止.yomi000BA781_072E.mp3'), Path('/content/drive/MyDrive/1000sample/鬼気.yomi000B992E_007C.mp3'), Path('/content/drive/MyDrive/1000sample/黒ゆり_黒百合.yomi000BA4C7_00B0.mp3'), Path('/content/drive/MyDrive/1000sample/鼻.yomi000BA85B_03F8.mp3'), Path('/content/drive/MyDrive/1000sample/黄金郷.yomi000BA416_0142.mp3'), Path('/content/drive/MyDrive/1000sample/黄道.yomi000BA384_040E.mp3'), Path('/content/drive/MyDrive/1000sample/鼻音.yomi000BAA74_021A.mp3'), Path('/content/drive/MyDrive/1000sample/鬼女.yomi000B98E3_0268.mp3'), Path('/content/drive/MyDrive/1000sample/鳴る.yomi000B9F05_05AA.mp3'), Path('/content/drive/MyDrive/1000sample/鶴屋南北.yomi000B9FA0_0140.mp3'), Path('/content/drive/MyDrive/1000sample/髪結い床.yomi000B984B_05D4.mp3')]
tfms - [noop:
encodes: (object,object) -> noopdecodes: , partial:
encodes: (object,object) -> partialdecodes: ]>,<bound method L.sorted of TfmdLists: [Path('/content/drive/MyDrive/1000sample/高積雲.yomi000B9552_02BA.mp3'), Path('/content/drive/MyDrive/1000sample/鬼才.yomi000B990C_00AC.mp3'), Path('/content/drive/MyDrive/1000sample/馬具.yomi000B89B2_07CC.mp3'), Path('/content/drive/MyDrive/1000sample/鬼神.yomi000B9951_07F0.mp3'), Path('/content/drive/MyDrive/1000sample/高圧.yomi000B928A_04F8.mp3'), Path('/content/drive/MyDrive/1000sample/黙考.yomi000BA7E7_0518.mp3'), Path('/content/drive/MyDrive/1000sample/魔女.yomi000B9A51_024C.mp3'), Path('/content/drive/MyDrive/1000sample/鼻っ面.yomi000BA8E9_0306.mp3'), Path('/content/drive/MyDrive/1000sample/高潔.yomi000B94F9_0210.mp3'), Path('/content/drive/MyDrive/1000sample/高射砲.yomi000B932B_068E.mp3'), Path('/content/drive/MyDrive/1000sample/騒々しい.yomi000B8D9A_05F4.mp3'), Path('/content/drive/MyDrive/1000sample/黙々.yomi000BA741_058A.mp3'), Path('/content/drive/MyDrive/1000sample/駆虫剤.yomi000B8CAE_07C0.mp3'), Path('/content/drive/MyDrive/1000sample/黒板塀.yomi000BA5C9_0170.mp3'), Path('/content/drive/MyDrive/1000sample/鵜.yomi000B9F40_04E4.mp3'), Path('/content/drive/MyDrive/1000sample/高慢.yomi000B93EF_05A2.mp3'), Path('/content/drive/MyDrive/1000sample/魚族.yomi000B9B8F_079C.mp3'), Path('/content/drive/MyDrive/1000sample/高鳴る.yomi000B97B5_04E6.mp3'), Path('/content/drive/MyDrive/1000sample/魚屋.yomi000B9B39_0294.mp3'), Path('/content/drive/MyDrive/1000sample/髪結い.yomi000B9833_03B4.mp3'), Path('/content/drive/MyDrive/1000sample/駆使.yomi000B8C96_01CC.mp3'), Path('/content/drive/MyDrive/1000sample/魚の目.yomi000B9B08_056C.mp3'), Path('/content/drive/MyDrive/1000sample/麦つき_麦搗き.yomi000BA079_0124.mp3'), Path('/content/drive/MyDrive/1000sample/駆け込み寺.yomi000B8C76_0676.mp3'), Path('/content/drive/MyDrive/1000sample/高説.yomi000B9669_053C.mp3'), Path('/content/drive/MyDrive/1000sample/骨相.yomi000B8FE0_04C8.mp3'), Path('/content/drive/MyDrive/1000sample/魔性.yomi000B9A60_022C.mp3'), Path('/content/drive/MyDrive/1000sample/高僧.yomi000B9207_0794.mp3'), Path('/content/drive/MyDrive/1000sample/高揚.yomi000B9413_021A.mp3'), Path('/content/drive/MyDrive/1000sample/魔境.yomi000B9A49_00E0.mp3'), Path('/content/drive/MyDrive/1000sample/黒み.yomi000BA4AE_06F4.mp3'), Path('/content/drive/MyDrive/1000sample/麻の葉.yomi000BA1DB_02DC.mp3'), Path('/content/drive/MyDrive/1000sample/駆け戻る.yomi000B8C4C_053A.mp3'), Path('/content/drive/MyDrive/1000sample/驚異.yomi000B8EA7_0052.mp3'), Path('/content/drive/MyDrive/1000sample/高利.yomi000B922E_0634.mp3'), Path('/content/drive/MyDrive/1000sample/鳴海絞り.yomi000B9F2C_004C.mp3'), Path('/content/drive/MyDrive/1000sample/髪洗い.yomi000B9812_0090.mp3'), Path('/content/drive/MyDrive/1000sample/鳥羽絵.yomi000B9E0F_0612.mp3'), Path('/content/drive/MyDrive/1000sample/馬の足.yomi000B8950_0294.mp3'), Path('/content/drive/MyDrive/1000sample/黒靴.yomi000BA71F_040A.mp3'), Path('/content/drive/MyDrive/1000sample/魚市場.yomi000B9B5C_01FC.mp3'), Path('/content/drive/MyDrive/1000sample/高踏的.yomi000B96C0_066C.mp3'), Path('/content/drive/MyDrive/1000sample/騎兵隊.yomi000B8D56_0508.mp3'), Path('/content/drive/MyDrive/1000sample/鶏群.yomi000B9F76_01B4.mp3'), Path('/content/drive/MyDrive/1000sample/麦芽.yomi000BA171_0498.mp3'), Path('/content/drive/MyDrive/1000sample/鼓手.yomi000BA837_004C.mp3'), Path('/content/drive/MyDrive/1000sample/駆る.yomi000B8C90_03C8.mp3'), Path('/content/drive/MyDrive/1000sample/鳥獣.yomi000B9DED_056A.mp3'), Path('/content/drive/MyDrive/1000sample/駆け回る.yomi000B8C23_0036.mp3'), Path('/content/drive/MyDrive/1000sample/鼻面.yomi000BAA6B_054E.mp3'), Path('/content/drive/MyDrive/1000sample/駆け寄る.yomi000B8C2B_042A.mp3'), Path('/content/drive/MyDrive/1000sample/駆り出される.yomi000B8C8B_066E.mp3'), Path('/content/drive/MyDrive/1000sample/馬ふん紙.yomi000B8961_0354.mp3'), Path('/content/drive/MyDrive/1000sample/鼻こう_鼻腔.yomi000BA88B_003C.mp3'), Path('/content/drive/MyDrive/1000sample/高話.yomi000B9660_05E8.mp3'), Path('/content/drive/MyDrive/1000sample/鳥の子紙.yomi000B9D25_00D2.mp3'), Path('/content/drive/MyDrive/1000sample/鼻っ柱.yomi000BA8DD_05C2.mp3'), Path('/content/drive/MyDrive/1000sample/鯨幕.yomi000B9CAF_040E.mp3'), Path('/content/drive/MyDrive/1000sample/駅前.yomi000B8B4F_0680.mp3'), Path('/content/drive/MyDrive/1000sample/鹿児島.yomi000B9FBE_07B0.mp3'), Path('/content/drive/MyDrive/1000sample/黒表.yomi000BA6D2_06C6.mp3'), Path('/content/drive/MyDrive/1000sample/馬腹.yomi000B8A56_0728.mp3'), Path('/content/drive/MyDrive/1000sample/駐屯.yomi000B8D06_074C.mp3'), Path('/content/drive/MyDrive/1000sample/高段者.yomi000B94C4_0400.mp3'), Path('/content/drive/MyDrive/1000sample/駆け下りる.yomi000B8C09_07BA.mp3'), Path('/content/drive/MyDrive/1000sample/黒曜石.yomi000BA59B_01D4.mp3'), Path('/content/drive/MyDrive/1000sample/高声.yomi000B92D6_00BA.mp3'), Path('/content/drive/MyDrive/1000sample/鼻血.yomi000BAA4B_02FE.mp3'), Path('/content/drive/MyDrive/1000sample/高音部.yomi000B9741_0626.mp3'), Path('/content/drive/MyDrive/1000sample/駅渡し.yomi000B8B95_0040.mp3'), Path('/content/drive/MyDrive/1000sample/骨組み.yomi000B9030_0570.mp3'), Path('/content/drive/MyDrive/1000sample/黒雲母.yomi000BA717_05FE.mp3'), Path('/content/drive/MyDrive/1000sample/黒豆.yomi000BA6E5_00CE.mp3'), Path('/content/drive/MyDrive/1000sample/験算.yomi000B8E0D_0168.mp3'), Path('/content/drive/MyDrive/1000sample/鼻炎.yomi000BA9F9_0428.mp3'), Path('/content/drive/MyDrive/1000sample/骨張る.yomi000B8F10_0224.mp3'), Path('/content/drive/MyDrive/1000sample/魔王.yomi000B9AA8_07C4.mp3'), Path('/content/drive/MyDrive/1000sample/騒音.yomi000B8DFB_0620.mp3'), Path('/content/drive/MyDrive/1000sample/黒炭.yomi000BA5FF_00C8.mp3'), Path('/content/drive/MyDrive/1000sample/騒乱罪.yomi000B8DDC_011A.mp3'), Path('/content/drive/MyDrive/1000sample/鼻っつまみ.yomi000BA8B1_06A2.mp3'), Path('/content/drive/MyDrive/1000sample/高山病.yomi000B9371_01FE.mp3'), Path('/content/drive/MyDrive/1000sample/高配.yomi000B970D_0016.mp3'), Path('/content/drive/MyDrive/1000sample/鼓舞.yomi000BA856_073C.mp3'), Path('/content/drive/MyDrive/1000sample/鶏舎.yomi000B9F88_020C.mp3'), Path('/content/drive/MyDrive/1000sample/高殿.yomi000B94CD_06B4.mp3'), Path('/content/drive/MyDrive/1000sample/高速度鋼.yomi000B96E0_029A.mp3'), Path('/content/drive/MyDrive/1000sample/骨折り損.yomi000B8F37_045E.mp3'), Path('/content/drive/MyDrive/1000sample/高尚.yomi000B933C_0676.mp3'), Path('/content/drive/MyDrive/1000sample/鼻毛.yomi000BA9C1_05A0.mp3'), Path('/content/drive/MyDrive/1000sample/高まくら_高枕.yomi000B916F_0368.mp3'), Path('/content/drive/MyDrive/1000sample/騎馬武者.yomi000B8D91_05C8.mp3'), Path('/content/drive/MyDrive/1000sample/高瀬舟.yomi000B950F_01DA.mp3'), Path('/content/drive/MyDrive/1000sample/駄犬.yomi000B8AFC_0700.mp3'), Path('/content/drive/MyDrive/1000sample/骨.yomi000B8EAE_02FE.mp3'), Path('/content/drive/MyDrive/1000sample/高土間.yomi000B926A_06F0.mp3'), Path('/content/drive/MyDrive/1000sample/魔の手.yomi000B9A0C_0388.mp3'), 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Path('/content/drive/MyDrive/1000sample/高まる.yomi000B9194_0774.mp3'), Path('/content/drive/MyDrive/1000sample/黄金律.yomi000BA3F0_0162.mp3'), Path('/content/drive/MyDrive/1000sample/高飛車.yomi000B9789_033E.mp3'), Path('/content/drive/MyDrive/1000sample/馬そり_馬橇.yomi000B890D_03D8.mp3'), Path('/content/drive/MyDrive/1000sample/鬼打ち豆.yomi000B9913_0508.mp3'), Path('/content/drive/MyDrive/1000sample/鼻くそ.yomi000BA882_07A8.mp3'), Path('/content/drive/MyDrive/1000sample/黙想.yomi000BA778_0552.mp3'), Path('/content/drive/MyDrive/1000sample/鳴門わかめ_鳴門若布.yomi000B9F35_0738.mp3'), Path('/content/drive/MyDrive/1000sample/魔法使い.yomi000B9A7E_02C4.mp3'), Path('/content/drive/MyDrive/1000sample/駆除.yomi000B8CC8_0474.mp3'), Path('/content/drive/MyDrive/1000sample/駅員.yomi000B8B69_076C.mp3'), Path('/content/drive/MyDrive/1000sample/験.yomi000B8E04_064C.mp3'), Path('/content/drive/MyDrive/1000sample/黄金分割.yomi000BA3E5_03B6.mp3'), Path('/content/drive/MyDrive/1000sample/馬齢.yomi000B8ACC_0610.mp3'), Path('/content/drive/MyDrive/1000sample/鼓吹.yomi000BA82F_0090.mp3'), Path('/content/drive/MyDrive/1000sample/麗筆.yomi000BA029_0440.mp3'), Path('/content/drive/MyDrive/1000sample/高遠.yomi000B9704_05D2.mp3'), Path('/content/drive/MyDrive/1000sample/鳴り響く.yomi000B9F00_06A0.mp3'), Path('/content/drive/MyDrive/1000sample/麻織り.yomi000BA1FD_0758.mp3'), Path('/content/drive/MyDrive/1000sample/麗し.yomi000B9FFC_0252.mp3'), Path('/content/drive/MyDrive/1000sample/鹿鳴館.yomi000B9FE5_0650.mp3'), Path('/content/drive/MyDrive/1000sample/馬首.yomi000B8AC6_0074.mp3'), Path('/content/drive/MyDrive/1000sample/黒羽二重.yomi000BA6AA_0082.mp3'), Path('/content/drive/MyDrive/1000sample/高等弁務官.yomi000B95A3_05BC.mp3'), Path('/content/drive/MyDrive/1000sample/高々と.yomi000B90FE_0584.mp3'), Path('/content/drive/MyDrive/1000sample/馬子唄.yomi000B89FE_0728.mp3'), Path('/content/drive/MyDrive/1000sample/験電器.yomi000B8E15_055C.mp3'), Path('/content/drive/MyDrive/1000sample/黙止.yomi000BA781_072E.mp3'), Path('/content/drive/MyDrive/1000sample/鬼気.yomi000B992E_007C.mp3'), Path('/content/drive/MyDrive/1000sample/黒ゆり_黒百合.yomi000BA4C7_00B0.mp3'), Path('/content/drive/MyDrive/1000sample/鼻.yomi000BA85B_03F8.mp3'), Path('/content/drive/MyDrive/1000sample/黄金郷.yomi000BA416_0142.mp3'), Path('/content/drive/MyDrive/1000sample/黄道.yomi000BA384_040E.mp3'), Path('/content/drive/MyDrive/1000sample/鼻音.yomi000BAA74_021A.mp3'), Path('/content/drive/MyDrive/1000sample/鬼女.yomi000B98E3_0268.mp3'), Path('/content/drive/MyDrive/1000sample/鳴る.yomi000B9F05_05AA.mp3'), Path('/content/drive/MyDrive/1000sample/鶴屋南北.yomi000B9FA0_0140.mp3'), Path('/content/drive/MyDrive/1000sample/髪結い床.yomi000B984B_05D4.mp3')]
tfms - [partial:
encodes: (object,object) -> partialdecodes: , Categorize -- {'vocab': None, 'sort': True, 'add_na': False}:
encodes: (object,object) -> encodes
decodes: (object,object) -> decodes
]>]
m = learn.model

y = dls[0]

names = [fn.name for fn in path.ls()]

datasample =  data[data.path.isin(names)]

datasample.groupby('pattern').count()
path kana syl drop
pattern
中高 229 229 229 229
尾高 18 18 18 18
平板 403 403 403 403
頭高 78 78 78 78 
data.groupby('pattern').count()
path kana syl drop
pattern
中高 24444 24444 24444 24444
尾高 1461 1461 1461 1461
平板 30551 30551 30551 30551
頭高 10038 10038 10038 10038