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A Text-Independent Speaker Identification System based on The Zak Transform
Abdulnasir Hossen, Said Al-Rawahy
Pages - 68 - 74     |    Revised - 30-04-2010     |    Published - 10-06-2010
Volume - 4   Issue - 2    |    Publication Date - May 2010  Table of Contents
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KEYWORDS
Speaker Identification, Zak transform, Speaker Recognition
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 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.
CITED BY (1)  
1 Saady, M. R., El-Borey, H., El-Dahshan, E. S. A., & Yahia, A. S. (2014). Stand-Alone Intelligent Voice Recognition System. Journal of Signal and Information Processing, 5(04), 179.
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Associate Professor Abdulnasir Hossen
Sultan qaboos University - Oman
abhossen@squ.edu.om
Mr. Said Al-Rawahy
- Oman


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