Fade

class torchaudio.transforms.Fade(fade_in_len: int = 0, fade_out_len: int = 0, fade_shape: str = 'linear')

Add a fade in and/or fade out to an waveform.

Parameters:

• fade_in_len (int, optional) – Length of fade-in (time frames). (Default: 0)

• fade_out_len (int, optional) – Length of fade-out (time frames). (Default: 0)

• fade_shape (str, optional) – Shape of fade. Must be one of: “quarter_sine”, "half_sine", "linear", "logarithmic", "exponential". (Default: "linear")

Example

>>> waveform, sample_rate = torchaudio.load("test.wav", normalize=True)
>>> transform = transforms.Fade(fade_in_len=sample_rate, fade_out_len=2 * sample_rate, fade_shape="linear")
>>> faded_waveform = transform(waveform)

Tutorials using Fade:

Music Source Separation with Hybrid Demucs

Music Source Separation with Hybrid Demucs

forward(waveform: Tensor) → Tensor

Parameters:

waveform (Tensor) – Tensor of audio of dimension (…, time).

Returns:

Tensor of audio of dimension (…, time).

Return type:

Tensor