Title :
An analysis and comparative evaluation of MFCC variants for speaker identification over VoIP networks
Author :
Bouziane Ayoub;Kharroubi Jamal;Zarghili Arsalane
Author_Institution :
Laboratory of Intelligent Systems and Applications, Faculty of Sciences and Technologies, University Sidi Mohamed Ben Abdellah, Fez, Morocco
fDate :
6/1/2015 12:00:00 AM
Abstract :
The aim of this paper is to evaluate, analyze and compare the performance of the most popular MFCC variants for features extraction in text-independent speaker identification over VoIP Networks. The MFCC variants were tested and evaluated under a Gaussian mixture model (GMM)-based speaker identification system, which represents the speaker modeling state-of-art approach in contemporary text-independent speaker identification systems.
Keywords :
"Filter banks","Mel frequency cepstral coefficient","Speech","Feature extraction","Speaker recognition"
Conference_Titel :
Information Technology and Computer Applications Congress (WCITCA), 2015 World Congress on
DOI :
10.1109/WCITCA.2015.7367018
