mindspore.dataset.audio.MuLawDecoding
- class mindspore.dataset.audio.MuLawDecoding(quantization_channels=256)[source]
Decode mu-law encoded signal, refer to mu-law algorithm .
- Parameters
quantization_channels (int, optional) – Number of channels, which must be positive. Default:
256
.- Raises
TypeError – If quantization_channels is not of type int.
ValueError – If quantization_channels is not a positive number.
RuntimeError – If input tensor is not in shape of <…, time>.
- Supported Platforms:
CPU
Examples
>>> import numpy as np >>> import mindspore.dataset as ds >>> import mindspore.dataset.audio as audio >>> >>> waveform = np.random.random([1, 3, 4]) >>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"]) >>> transforms = [audio.MuLawDecoding()] >>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])
- Tutorial Examples: