mindspore.dataset.audio.HighpassBiquad

class mindspore.dataset.audio.HighpassBiquad(sample_rate, cutoff_freq, Q=0.707)[source]

Design biquad highpass filter and perform filtering.

Similar to SoX implementation.

Parameters

sample_rate (int) – Sampling rate of the waveform, e.g. 44100 (Hz), the value can’t be zero.
cutoff_freq (float) – Filter cutoff frequency (in Hz).
Q (float, optional) – Quality factor, https://en.wikipedia.org/wiki/Q_factor, range: (0, 1]. Default: 0.707.

Raises

RuntimeError – If the shape of input audio waveform does not match (…, time).

Examples

>>> import numpy as np
>>>
>>> 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.HighpassBiquad(44100, 1500, 0.7)]
>>> numpy_slices_dataset = numpy_slices_dataset.map(operations=transforms, input_columns=["audio"])