Mel Spectrogram
Libraries:
Audio Toolbox /
Features
Description
The Mel Spectrogram block extracts the mel spectrogram from the audio input signal. A mel spectrogram contains an estimate of the shortterm, timelocalized frequency content of the input signal in the mel frequency scale.
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 — Mel spectrogram
matrix  3D array
Mel 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 Number of bands parameter.
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 frequency vector parameter.
Data Types: single
 double
Parameters
Number of bands — Number of bandpass filters
32
(default)  positive integer
Number of bandpass filters, specified as a positive integer.
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) domain.
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.
Visualize filter bank — Open plot to visualize filter bank
button
Open plot to visualize the filters in the frequency domain.
Output frequency vector — 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.
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 Mel 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 mel spectrogram
The Mel Spectrogram block supports optimized C/C++ code generation using single instruction, multiple data (SIMD) instructions.
See Also
Blocks
Functions
Objects
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