Speaker Recognition: a Biometric-based Personal Identification Technology


Speaker Recognition

Speaker Recognition System

Speaker Recognition Based on Neural Networks

Radon Transform Speaker Recognition

Wavelet Speaker Recognition

Speaker Verification System

RASTA-PLP Speaker Identification

External resources

Advanced Source Code .Com

Neural Networks .It

Face Recognition .It

Iris Recognition .It

Genetic Algorithms .It

Speaker Verification System

Download now Matlab source code
Requirements: Matlab, Matlab Image Processing Toolbox, Matlab Wavelet Toolbox, Matlab Signal Processing Toolbox.

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.

Release 1.0 Date 2013.11.13
Major features:

Speaker Recognition . It Luigi Rosa mobile +39 3207214179 luigi.rosa@tiscali.it