MuLawDecoding

class torchaudio.transforms.MuLawDecoding(quantization_channels: int = 256)

Decode mu-law encoded signal.

For more info see the Wikipedia Entry

This expects an input with values between 0 and quantization_channels - 1 and returns a signal scaled between -1 and 1.

Parameters:

quantization_channels (int, optional) – Number of channels. (Default: 256)

Example

>>> waveform, sample_rate = torchaudio.load("test.wav", normalize=True)
>>> transform = torchaudio.transforms.MuLawDecoding(quantization_channels=512)
>>> mulawtrans = transform(waveform)

forward(x_mu: Tensor) → Tensor

Parameters:

x_mu (Tensor) – A mu-law encoded signal which needs to be decoded.

Returns:

The signal decoded.

Return type:

Tensor