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A Text–Independent Speaker Identification System Based on the Zak Transform

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Author(s): Abdulnasir Hossen & Said Al-Rawahy

Journal: Signal Processing : An International Journal
ISSN 1985-2339

Volume: 4;
Issue: 2;
Start page: 68;
Date: 2010;
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Keywords: Speaker identification | Zak transform | Feature extraction | Classification

ABSTRACT
A novel text-independent speaker identification system based on the Zak transform is implemented. The data used in this paper are drawn from the ELSDSR database.The efficiency of identification approaches 91.3% using a single test file and 100% using two test files. The method shows comparable efficiency results with the well known MFCC method with an advantage of being faster in both modeling and identification.

Tango Jona
Tangokurs Rapperswil-Jona

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