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