yuyyuyu
yuyyuyu
/ stretching.py
Created
March 9, 2020 06:40
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| import numpy as np | |
| import random | |
| import itertools | |
| import librosa | |
| import IPython.display as ipd | |
| import matplotlib.pyplot as plt | |
| def stretch(data,rate=1): | |
| input_length = 440000 | |
| data=librosa.effects.time_stretch(data,rate) |
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| import numpy as np | |
| import random | |
| import itertools | |
| import librosa | |
| import IPython.display as ipd | |
| import matplotlib.pyplot as plt | |
| def load_audio_file(file_path): | |
| input_length = 440000 |
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| import numpy as np | |
| import random | |
| import itertools | |
| import librosa | |
| import IPython.display as ipd | |
| import matplotlib.pyplot as plt | |
| def stretch(data,rate=1): | |
| input_length = 440000 | |
| data=librosa.effects.time_stretch(data,rate) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| import numpy as np | |
| import random | |
| import itertools | |
| import librosa | |
| import IPython.display as ipd | |
| import matplotlib.pyplot as plt | |
| def load_audio_file(file_path): | |
| input_length = 440000 |
yuyyuyu
/ instruments3.csv
Created
March 8, 2020 15:43
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| uemura_normal_007.wav | uemura | |
|---|---|---|
| tsuchiya_normal_011.wav | tsuchiya | |
| tsuchiya_angry_014.wav | tsuchiya | |
| uemura_normal_054.wav | uemura | |
| tsuchiya_normal_010.wav | tsuchiya | |
| tsuchiya_happy_005.wav | tsuchiya | |
| tsuchiya_normal_095.wav | tsuchiya | |
| uemura_normal_099.wav | uemura | |
| tsuchiya_happy_096.wav | tsuchiya | |
| uemura_happy_094.wav | uemura |
yuyyuyu
/ instruments.csv
Created
March 8, 2020 15:03
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| fname | label | |
|---|---|---|
| tsuchiya_angry_008.wav | tsuchiya | |
| tsuchiya_normal_058.wav | tsuchiya | |
| fujitou_normal_091.wav | fujitou | |
| fujitou_normal_009.wav | fujitou | |
| fujitou_happy_068.wav | fujitou | |
| tsuchiya_normal_045.wav | tsuchiya | |
| fujitou_normal_054.wav | fujitou | |
| uemura_normal_086.wav | uemura | |
| fujitou_angry_093.wav | fujitou |
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| import os | |
| class Config: | |
| def __init__(self,mode='conv',nfilt=26,nfeat=13,nfft=2048,rate=44100): | |
| self.mode=mode | |
| self.nfilt=nfilt | |
| self.nfeat=nfeat | |
| self.nfft=nfft | |
| self.rate=rate | |
| self.step=int(rate/10) | |
| self.model_path=os.path.join('models',mode+'.model') |
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| import os | |
| from tqdm import tqdm | |
| import pandas as pd | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.io import wavfile | |
| from python_speech_features import mfcc, logfbank | |
| import librosa | |
| import glob | |
| import sklearn |
yuyyuyu
/ predict.py
Created
March 8, 2020 15:02
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| import os | |
| from scipy.io import wavfile | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from keras.layers import Conv2D, MaxPool2D, Flatten, LSTM | |
| from keras.layers import Dropout, Dense, TimeDistributed | |
| from keras.models import load_model | |
| from keras.utils import to_categorical | |
| from sklearn.utils.class_weight import compute_class_weight |
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| import os | |
| from scipy.io import wavfile | |
| import pandas as pd | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| from keras.layers import Conv2D, MaxPool2D, Flatten, LSTM | |
| from keras.layers import Dropout, Dense, TimeDistributed | |
| from keras.models import Sequential | |
| from keras.utils import to_categorical | |
| from sklearn.utils.class_weight import compute_class_weight |
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