Auditory Spectrogram
Libraries:
Audio Toolbox /
Features
Description
The Auditory Spectrogram block extracts a spectrogram from the audio input signal. A spectrogram contains an estimate of the shortterm, timelocalized frequency content of the input signal.
Ports
Input
Port_1 — Audio input
column vector  matrix
Audio input signal, specified as a column vector or a matrix. When you specify a matrix, the block treats columns as independent audio channels.
Data Types: single
 double
Output
spec — Spectrogram
matrix  3D array
Spectrogram, returned as a matrix or 3D array. The dimensions of spec are LbyMbyN, where:
L is the number of spectra, which is determined by the Number of spectra parameter.
M is the number of bands, which is determined by the Autodetermine number of bands and Number of bands parameters.
N is the number of channels in the input audio signal.
Trailing singleton dimensions are removed from the output.
This port is unnamed until you select the Output center frequencies parameter.
Data Types: single
 double
fvec — Center frequencies
row vector
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
Frequency scale — Frequency scale of filter bank
mel
(default)  bark
 erb
Frequency scale used to design the auditory filter bank, specified as
mel
, bark
, or
erb
.
mel
–– Design the filter bank as halfoverlapped triangles equally spaced on the mel scale.bark
–– Design the filter bank as halfoverlapped 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.
Autodetermine number of bands — Automatically determine number of bandpass filters
on
(default)  off
When you select this parameter, the block automatically determines the number of bandpass filters based on the Frequency scale parameter.
Number of bands — Number of bandpass filters
32
(default)  positive integer
Number of bandpass filters, specified as a positive integer.
Dependencies
To enable this parameter, clear the Autodetermine number of bands parameter.
Autodetermine frequency range — Automatically determine frequency range
on
(default)  off
When you select this parameter, the block sets the Frequency range
to [0,fs/2]
, where fs
is the sample
rate. The sample rate is determined by the Inherit sample rate
from input and Input sample rate (Hz)
parameters.
Frequency range (Hz) — Frequency range over which to design auditory filter bank
[0,22050]
(default)  twoelement row vector
Frequency range in Hz over which to design the auditory filter bank, specified as a twoelement row vector.
Dependencies
To enable this parameter, clear the Autodetermine frequency range parameter.
Filter bank design domain — Domain to design filter bank
linear
(default)  warped
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
.
Filter bank normalization — Normalization technique for filter bank
bandwidth
(default)  area
 none
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.
Output center frequencies — Specify additional output port for center frequencies
off
(default)  on
When you select this parameter, the block displays an additional output port, fvec. This port outputs the center frequencies of the bandpass filters.
Visualize filter bank — Open plot to visualize filter bank
button
Open plot to visualize the filters in the frequency domain.
Window — Analysis window
hamming(1024,'periodic')
(default)  real vector
Analysis window applied in the time domain, specified as a real vector.
Normalize window — Normalize analysis window
on
(default)  off
When you select this parameter, the block applies window normalization.
Overlap length — Overlap length of adjacent analysis windows
512
(default)  integer in the range [0, windowLength
)
Overlap length of adjacent analysis windows, specified as an integer in
the range [0, windowLength
), where
windowLength
is the length of the analysis window,
which is specified by Window.
Autodetermine FFT length — Automatically determine FFT length
on
(default)  off
When you select this parameter, the block automatically sets the FFT length to the window
length numel(Window)
.
FFT length — Number of DFT points
1024
(default)  positive integer
Number of points used to calculate the DFT, specified as a positive integer.
Dependencies
To enable this parameter, clear the Autodetermine FFT length parameter.
Spectrum type — Type of spectrum
magnitude
(default)  power
Type of spectrum, specified as magnitude
or
power
.
Number of spectra — Number of spectra
1
(default)  positive integer
Number of spectra in the spectrogram, specified as a positive integer.
Number of spectra overlap — Number of overlapped spectra
0
(default)  integer in the range [0, Number of spectra)
Number of spectra overlapped across consecutive spectrograms, specified as an integer in the range [0, Number of spectra).
Inherit sample rate from input — Specify source of input sample rate
off
(default)  on
When you select this parameter, the block inherits its sample rate from the input signal. When you clear this parameter, you specify the sample rate in the Input sample rate (Hz) parameter.
Input sample rate (Hz) — Sample rate of input
44.1e3
(default)  positive scalar
Input sample rate in Hz, specified as a real positive scalar.
Dependencies
To enable this parameter, clear the Inherit sample rate from input parameter.
Block Characteristics
Data Types 

Direct Feedthrough 

Multidimensional Signals 

VariableSize Signals 

ZeroCrossing Detection 

Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.
The Auditory Spectrogram block supports optimized code generation using single instruction, multiple data (SIMD) instructions. For more information about SIMD code generation, see Generate SIMD Code from Simulink Blocks (Simulink Coder).
Version History
Introduced in R2022aR2023a: Generate optimized C/C++ code for computing auditory spectrogram
The Auditory Spectrogram block supports optimized C/C++ code generation using single instruction, multiple data (SIMD) instructions.
See Also
Blocks
Functions
Objects
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