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

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

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.

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