mindspore.dataset.audio.Gain

class mindspore.dataset.audio.Gain(gain_db=1.0)[source]

Apply amplification or attenuation to the whole waveform.

Parameters: gain_db (float) – Gain adjustment in decibels (dB). Default: 1.0.
Raises: TypeError – If gain_db is not of type float.

Supported Platforms:: CPU

Examples

>>> import numpy as np
>>> import mindspore.dataset as ds
>>> import mindspore.dataset.audio as audio
>>>
>>> waveform = np.array([[2.716064453125e-03, 6.34765625e-03], [9.246826171875e-03, 1.0894775390625e-02]])
>>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"])
>>> transforms = [audio.Gain(1.2)]
>>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])

Tutorial Examples:

Illustration of audio transforms