augment_tsaug.py

'''
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Random crop subsequences of randomly spliced audio file.

with 50% probability, add random noise up to 1% - 5%,
drop out 10% of the time points (dropped out units are 1 ms, 
10 ms, or 100 ms) and fill the dropped out points with zeros.

More info @ https://tsaug.readthedocs.io/en/stable/
'''
import os, librosa
import numpy as np
import random
from tsaug import Crop, AddNoise, Dropout
import soundfile as sf

def augment_tsaug(filename):

        y, sr = librosa.load(filename, mono=False)
        duration=int(librosa.core.get_duration(y,sr))
        print(y.shape)
        # y=np.expand_dims(y.swapaxes(0,1), 0)

        # N second splice between 1 second to N-1 secondsd
        splice=random.randint(1,duration-1)

        my_augmenter = (Crop(size=sr * splice) * 5  # random crop subsequences of splice seconds
        + AddNoise(scale=(0.01, 0.05)) @ 0.5  # with 50% probability, add random noise up to 1% - 5%
        + Dropout(
                 p=0.1,
                 fill=0,
                 size=[int(0.001 * sr), int(0.01 * sr), int(0.1 * sr)]
                 )  # drop out 10% of the time points (dropped out units are 1 ms, 10 ms, or 100 ms) and fill the dropped out points with zeros
        )
        y_aug = my_augmenter.augment(y)
        newfile='tsaug_'+filename
        sf.write(newfile, y_aug.T, sr)
        return [filename, newfile]