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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
Published in Signal Processing: An International Journal (SPIJ)
MORE INFORMATION
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.
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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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