mindspore.dataset.audio.Overdrive
- class mindspore.dataset.audio.Overdrive(gain=20.0, color=20.0)[source]
Apply an overdrive effect to the audio waveform.
Similar to SoX implementation.
- Parameters
- Raises
TypeError – If gain is not of type float.
ValueError – If gain is not in range of [0, 100].
TypeError – If color is not of type float.
ValueError – If color is not in range of [0, 100].
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 >>> >>> # Use the transform in dataset pipeline mode >>> waveform = np.random.random([5, 10]) # 5 samples >>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"]) >>> transforms = [audio.Overdrive()] >>> 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 (10,) float64 >>> >>> # Use the transform in eager mode >>> waveform = np.random.random([10]) # 1 sample >>> output = audio.Overdrive()(waveform) >>> print(output.shape, output.dtype) (10,) float64
- Tutorial Examples: