.: Click here to download :.
The Perceptual Linear Predicative (PLP) speech analysis technique is based on the short-term spectrum of speech.
Even though the short-term spectrum of speech is subsequently modified by several psychophysically based spectral transformations,
the PLP technique (just like most other short-term spectrum based techniques), is vulnerable when the short-term spectral values
are modified by the frequency response of the communication channel. Human speech perception seems to be less sensitive to such
steady-state spectral factors. We have implemented the RelAtive SpecTrAl (RASTA) methodology which makes PLP
(and possibly also some other short-term spectrum based techniques) more robust to linear spectral distortions. Experimental
results using telephone-quality isolated digits and hìgh-quality continuous speech show significant improvements in error rate.
Index Terms: Matlab, source, code, RASTA, PLP, Relative Spectral Methodology, speaker recognition, speaker matching, speaker
verification, speech analysis.
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Figure 1. The vocal organs |
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A simple and effective source code for RASTA-PLP Speaker Identification. |
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Demo code (protected
P-files) available for performance evaluation. Matlab Signal Processing Toolbox is required. |
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Release |
Date |
Major features |
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1.0 |
2007.09.28 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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RASTA-PLP Speaker Identification - Release 1.0 - Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 49 EUROS (less
than 68.6 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of RASTA-PLP Speaker Identification. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab R2006a. Matlab Signal Processing Toolbox is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
