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There are two major applications of speaker recognition technologies and methodologies. If the speaker claims to be of a certain identity and the voice is used to verify this claim, this is called verification or authentication. On the other hand, identification is the task of determining an unknown speaker's identity. In a sense speaker verification is a 1:1 match where one speaker's voice is matched to one template (also called a "voice print" or "voice model") whereas speaker identification is a 1:N match where the voice is compared against N templates. From a security perspective, identification is different from verification. For example, presenting your passport at border control is a verification process - the agent compares your face to the picture in the document. Conversely, a police officer comparing a sketch of an assailant against a database of previously documented criminals to find the closest match(es) is an identification process.

We have developed a fast and reliable algorithm for speaker verification that can be used also for identification purposes. The proposed algorithm results text-independent and robust to noise.

Index Terms: Matlab, source, code, speaker, identification, verification, 1:N match, 1:1 match, text, independent.

 

 

 

 

 

Figure 1. Speaker analysis



A simple and effective source code for Speaker Verification System.



Demo code (protected P-files) available for performance evaluation. Matlab Image Processing Toolbox, Matlab Wavelet Toolbox, and Matlab Signal Processing Toolbox are required.

Release
Date
Major features
1.0

2013.11.13



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Speaker Verification System - Click here for your donation. In order to obtain the source code you have to pay a little sum of money: 400 EUROS (less than 560 U.S. Dollars).

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As soon as possible (in a few days) you will receive our new release of Speaker Verification System.

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Luigi Rosa
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Via Pozzo Strada 5 10139 Torino Italy
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Poste Italiane
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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 2006a. Matlab Image Processing Toolbox, Matlab Wavelet Toolbox, and Matlab Signal Processing Toolbox are 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.

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