def parallel(f): if random.gauss(0.5, 0.14) > 0.6: s = random.sample(files, random.randint(2, 6)) y = combine_speakers(s, len(s))[0] else: y = read_wav(f)[0] y = random_sampling(y, length=random.randint(2000, 300_000)) y = y / (np.max(np.abs(y)) + 1e-9) seed = random.randint(0, 100_000_000) x = calc(y.copy(), seed) if random.gauss(0.5, 0.14) > 0.6: print('add small noise') n = combine_speakers(noises, random.randint(1, 20))[0] n = calc(n, seed, True) combined, noise = augmentation.add_noise(x, n, factor=random.uniform( 0.01, 0.1), return_noise=True) else: x = x / (np.max(np.abs(x)) + 1e-9) combined = x print(combined.shape, y.shape) return combined, y
def signal_augmentation(wav): seed = random.randint(0, 100_000_000) wav = calc(wav, seed) if random.gauss(0.5, 0.14) > 0.6: n, _ = malaya_speech.load(random.choice(noises), sr = 16000) n = calc(n, seed, True) combined = augmentation.add_noise( wav, n, factor = random.uniform(0.05, 0.3) ) else: combined = wav return combined.astype('float32')
def parallel(f): if random.random() > 0.7: s = random.sample(files, random.randint(2, 6)) y = combine_speakers(s, len(s))[0] else: y = random_sampling( read_wav(f)[0], length = random.randint(20000, 120_000) ) n = combine_speakers(noises, random.randint(1, 20))[0] seed = random.randint(0, 100_000_000) y = calc(y, seed) n = calc(n, seed, True) combined, noise = augmentation.add_noise( y, n, factor = random.uniform(0.1, 0.9), return_noise = True ) return combined, y, noise
def parallel(f): y = random_sampling(read_wav(f)[0], length=length) seed = random.randint(0, 100_000_000) x = calc(y, seed) if random.gauss(0.5, 0.14) > 0.6: print('add small noise') n = combine_speakers(noises, random.randint(1, 20))[0] n = calc(n, seed, True) combined, noise = augmentation.add_noise( x, n, factor=random.uniform(0.01, 0.1), return_noise=True, rescale=False, ) else: combined = x noise = combined - y return combined, y, noise