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Design Auditory Filter Bank

Design frequency-domain auditory filter bank

Since R2022a

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  • Design Auditory Filter Bank block

Libraries:
Audio Toolbox / Features

Description

The Design Auditory Filter Bank block outputs a frequency-domain auditory filter bank. You can use an auditory filter bank to decompose an audio signal into separate frequency bands for feature extraction.

Examples

Design Auditory Filter Bank

Design Auditory Filter Bank

Design an auditory filter bank in Simulink.

Ports

Output

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Auditory filter bank, returned as an M-by-N matrix, where:

  • M is the number of bands, which is determined by the Auto-determine number of bands and Number of bands parameters.

  • N is the number of points in the spectrum. If you select Design one-sided filter bank, then N is equal to ceil(NFFT/2), where NFFT is the FFT length. If you do not select Design one-sided filter bank, then N is equal to the FFT length.

This port is unnamed until you select the Output center frequencies parameter.

Data Types: single | double

Center frequencies of the bandpass filters in Hz, returned as a row vector with number of elements equal to the number of bands.

Dependencies

To enable this port, select the Output center frequencies parameter.

Data Types: single | double

Parameters

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Frequency scale used to design the auditory filter bank, specified as mel, bark, or erb.

  • mel –– Design the filter bank as half-overlapped triangles equally spaced on the mel scale.

  • bark –– Design the filter bank as half-overlapped triangles equally spaced on the Bark scale.

  • erb –– Design the filter bank as gammatone filters whose center frequencies are equally spaced on the ERB scale.

Style of the mel scale, specified as oshaughnessy or slaney.

Dependencies

To enable this parameter, set the Frequency scale parameter to mel.

Number of points used to calculate the DFT, specified as a positive integer.

When you select this parameter, the block designs a one-sided filter bank. Otherwise, the filter bank is two sided.

When you select this parameter, the block automatically determines the number of bandpass filters based on the Frequency scale parameter.

  • If you set Frequency scale to mel or bark, then the number of bands is 32.

  • If you set Frequency scale to erb, then the number of bands is equal to ceil(hz2erb(fr(2))-hz2erb(fr(1))), where fr is specified using Frequency range (Hz).

Number of bandpass filters, specified as a positive integer.

Dependencies

To enable this parameter, clear the Auto-determine number of bands parameter.

When you select this parameter, the block sets the Frequency range to [0,fs/2], where fs is specified using Sample rate (Hz).

Frequency range in Hz over which to design the auditory filter bank, specified as a two-element row vector.

Dependencies

To enable this parameter, clear the Auto-determine frequency range parameter.

Domain in which the block designs the filter bank, specified as linear or warped. Set the filter bank design domain to linear to design the bandpass filters in the linear (Hz) domain. Set the filter bank design domain to warped to design the bandpass filters in the warped (mel or Bark) domain.

Dependencies

To enable this parameter, set Frequency scale to mel or bark.

Normalization technique used for the filter bank weights, specified as bandwidth, area, or none.

  • bandwidth –– Normalize the weights of each bandpass filter by the corresponding bandwidth of the filter.

  • area –– Normalize the weights of each bandpass filter by the corresponding area of the bandpass filter.

  • none –– The block does not normalize the weights of the filters.

Data type of output, specified as double or single.

Sample rate in Hz of the filter design, specified as a positive scalar.

Open plot to visualize the filters in the frequency domain.

When you select this parameter, the block displays an additional output port, fvec. This port outputs the center frequencies of the bandpass filters.

Block Characteristics

Data Types

double | single

Direct Feedthrough

no

Multidimensional Signals

no

Variable-Size Signals

no

Zero-Crossing Detection

no

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced in R2022a

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See Also

Blocks

Functions

Objects