MuLawEncoding

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

Encode signal based on mu-law companding.

For more info see the Wikipedia Entry

This algorithm assumes the signal has been scaled to between -1 and 1 and returns a signal encoded with values from 0 to quantization_channels - 1

Parameters:

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

Example

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

forward(x: Tensor) → Tensor

Parameters:

x (Tensor) – A signal to be encoded.

Returns:

An encoded signal.

Return type:

Tensor