mindspore.dataset.audio.RiaaBiquad
- class mindspore.dataset.audio.RiaaBiquad(sample_rate)[source]
Apply RIAA vinyl playback equalization.
Similar to SoX implementation.
- Parameters
sample_rate (int) – sampling rate of the waveform, e.g. 44100 (Hz), can only be one of 44100, 48000, 88200, 96000.
- Raises
TypeError – If sample_rate is not of type int.
ValueError – If sample_rate is not any of [44100, 48000, 88200, 96000].
- Supported Platforms:
CPU
Examples
>>> import numpy as np >>> import mindspore.dataset as ds >>> import mindspore.dataset.audio as audio >>> >>> waveform = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float64) >>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"]) >>> transforms = [audio.RiaaBiquad(44100)] >>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])
- Tutorial Examples: