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Author(s): Rakesh D R | JAYASIMHAN N K

Journal: International Journal of Computer Science and Mobile Computing
ISSN 2320-088X

Volume: 2;
Issue: 5;
Start page: 402;
Date: 2013;
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Keywords: Cepstral analysis | Delta Coefficients | real-time processing | Dynamic Time Warping

In today’s society, highly accurate personal identification systems are required. Passwords or pinnumbers can be forgotten or forged and are no longer considered to offer a high level of security. The use ofbiological features, biometrics, is becoming widely accepted as the next level for security systems. SpeakerRecognition and Authentication is a method of identifying persons from their voice. Speaker-specificcharacteristics exist in speech signals due to different speakers having different resonances of the vocal tract;these features are extracted from the voice of the speaker and used for the recognition of individual speaker.In this paper we present a real-time text dependent speaker recognition and authentication system whichserve as intermediary step towards the implementation as an embedded system. Process is based oncomputing the Mel Frequency Cepstral Coefficients and the derived Dynamic Coefficients, while classifyingfeatures using a Dynamic Time Warping approach.
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