mindspore.dataset.audio.linear_fbanks

mindspore.dataset.audio.linear_fbanks(n_freqs, f_min, f_max, n_filter, sample_rate)

Creates a linear triangular filterbank.

Parameters

• n_freqs (int) – Number of frequencies to highlight/apply.

• f_min (float) – Minimum frequency in Hz.

• f_max (float) – Maximum frequency in Hz.

• n_filter (int) – Number of (linear) triangular filter.

• sample_rate (int) – Sample rate of the waveform.

Returns

numpy.ndarray, the linear triangular filterbank.

Raises

• TypeError – If n_freqs is not of type int.

• ValueError – If n_freqs is negative.

• TypeError – If f_min is not of type float.

• ValueError – If f_min is negative.

• TypeError – If f_max is not of type float.

• ValueError – If f_max is negative.

• ValueError – If f_min is larger than f_max.

• TypeError – If n_filter is not of type int.

• ValueError – If n_filter is not positive.

• TypeError – If sample_rate is not of type int.

• ValueError – If sample_rate is not positive.

Supported Platforms:

CPU

Examples

>>> from mindspore.dataset.audio import linear_fbanks
>>>
>>> fbanks = linear_fbanks(n_freqs=4096, f_min=0, f_max=8000, n_filter=40, sample_rate=16000)