mindspore.dataset.audio.Fade
- class mindspore.dataset.audio.Fade(fade_in_len=0, fade_out_len=0, fade_shape=FadeShape.LINEAR)[source]
Add a fade in and/or fade out to an waveform.
- Parameters
fade_in_len (int, optional) – Length of fade-in (time frames), which must be non-negative (default=0).
fade_out_len (int, optional) – Length of fade-out (time frames), which must be non-negative (default=0).
fade_shape (FadeShape, optional) –
Shape of fade (default=FadeShape.LINEAR). Can be one of FadeShape.QUARTER_SINE, FadeShape.HALF_SINE, FadeShape.LINEAR, FadeShape.LOGARITHMIC or FadeShape.EXPONENTIAL.
-FadeShape.QUARTER_SINE, means it tend to 0 in an quarter sin function.
-FadeShape.HALF_SINE, means it tend to 0 in an half sin function.
-FadeShape.LINEAR, means it linear to 0.
-FadeShape.LOGARITHMIC, means it tend to 0 in an logrithmic function.
-FadeShape.EXPONENTIAL, means it tend to 0 in an exponential function.
- Raises
RuntimeError – If fade_in_len exceeds waveform length.
RuntimeError – If fade_out_len exceeds waveform length.
Examples
>>> import numpy as np >>> from mindspore.dataset.audio import FadeShape >>> >>> waveform = np.array([[2.716064453125e-03, 6.34765625e-03, 9.246826171875e-03, 1.0894775390625e-02]]) >>> dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"]) >>> transforms = [audio.Fade(fade_in_len=3, fade_out_len=2, fade_shape=FadeShape.LINEAR)] >>> dataset = dataset.map(operations=transforms, input_columns=["audio"])