mindspore.dataset.audio.Magphase

class mindspore.dataset.audio.Magphase(power=1.0)[source]

Separate a complex-valued spectrogram with shape (…, 2) into its magnitude and phase.

Parameters: power (float) – Power of the norm, which must be non-negative. Default: 1.0.
Raises: RuntimeError – If the shape of input audio waveform does not match (…, 2).

Supported Platforms:: CPU

Examples

>>> import numpy as np
>>> import mindspore.dataset as ds
>>> import mindspore.dataset.audio as audio
>>>
>>> waveform = np.random.random([2, 4, 2])
>>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"])
>>> transforms = [audio.Magphase()]
>>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])

Tutorial Examples:

Illustration of audio transforms