mindspore.dataset.audio.Biquad

class mindspore.dataset.audio.Biquad(b0, b1, b2, a0, a1, a2)[source]

Perform a biquad filter of input audio. Mathematical fomulas refer to: Digital_biquad_filter .

Parameters

b0 (float) – Numerator coefficient of current input, x[n].
b1 (float) – Numerator coefficient of input one time step ago x[n-1].
b2 (float) – Numerator coefficient of input two time steps ago x[n-2].
a0 (float) – Denominator coefficient of current output y[n], the value can’t be 0, typically 1.
a1 (float) – Denominator coefficient of current output y[n-1].
a2 (float) – Denominator coefficient of current output y[n-2].

Raises

TypeError – If b0 is not of type float.
TypeError – If b1 is not of type float.
TypeError – If b2 is not of type float.
TypeError – If a0 is not of type float.
TypeError – If a1 is not of type float.
TypeError – If a2 is not of type float.
ValueError – If a0 is 0.

Supported Platforms:: CPU

Examples

>>> import numpy as np
>>> import mindspore.dataset.audio as audio
>>>
>>> waveform = np.array([[2.716064453125e-03, 6.34765625e-03], [9.246826171875e-03, 1.0894775390625e-02]])
>>> biquad_op = audio.Biquad(0.01, 0.02, 0.13, 1, 0.12, 0.3)
>>> waveform_filtered = biquad_op(waveform)

Tutorial Examples:

Illustration of audio transforms