mindspore.dataset.audio.MuLawDecoding
- class mindspore.dataset.audio.MuLawDecoding(quantization_channels=256)[源代码]
解码mu-law编码的信号,参考 mu-law算法 。
- 参数:
quantization_channels (int, 可选) - 通道数,必须为正数。默认值:
256
。
- 异常:
TypeError - 当 quantization_channels 的类型不为int。
ValueError - 当 quantization_channels 不为正数。
RuntimeError - 当输入音频的shape不为<…, time>。
- 支持平台:
CPU
样例:
>>> import numpy as np >>> import mindspore.dataset as ds >>> import mindspore.dataset.audio as audio >>> >>> # Use the transform in dataset pipeline mode >>> waveform = np.random.random([5, 3, 4]) # 5 samples >>> 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"]) >>> for item in numpy_slices_dataset.create_dict_iterator(num_epochs=1, output_numpy=True): ... print(item["audio"].shape, item["audio"].dtype) ... break (3, 4) float64 >>> >>> # Use the transform in eager mode >>> waveform = np.random.random([3, 4]) # 1 sample >>> output = audio.MuLawDecoding()(waveform) >>> print(output.shape, output.dtype) (3, 4) float64
- 教程样例: