mindspore.dataset.audio.DeemphBiquad
- class mindspore.dataset.audio.DeemphBiquad(sample_rate)[source]
Apply Compact Disc (IEC 60908) de-emphasis (a treble attenuation shelving filter) to the audio waveform.
Similar to SoX implementation.
- Parameters
sample_rate (int) – Sampling rate of the waveform, must be 44100 or 48000 (Hz).
- Raises
TypeError – If sample_rate is not of type int.
ValueError – If sample_rate is not 44100 or 48000.
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.array([[2.716064453125e-03, 6.34765625e-03], [9.246826171875e-03, 1.0894775390625e-02]]) >>> numpy_slices_dataset = ds.NumpySlicesDataset(data=waveform, column_names=["audio"]) >>> transforms = [audio.DeemphBiquad(44100)] >>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])
- Tutorial Examples: