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;
VIEW PDF
DOWNLOAD PDF 
Original page
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.
Journal: Signal Processing : An International Journal
ISSN 1985-2339
Volume: 4;
Issue: 2;
Start page: 68;
Date: 2010;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: 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.
