Robust Arabic speaker verification system using LSF extracted from the G.729 bitstream

Author

Zergat, Kawthar Yasmine ; Amrouche, Abderrahmane ; Fedila, Meriem ; Debyeche, Mohamed

Author_Institution

Speech Com. & Signal Proc. Lab.-LCPTS, USTHB, Bab Ezzouar, Algeria

fYear

2013

fDate

22-25 Sept. 2013

Firstpage

1

Lastpage

5

Abstract

This paper deals with an Arabic text-independent speaker verification system over the Internet Protocol (VoIP). The system, using the ARADIGIT database and based on Support Vector Machine (SVM), was designed to use the information extracted directly from the coded parameters embedded in the ITU-T G.729 bitstream. Experiments evaluated the robustness of the system at different noisy conditions. The results showed that the use of Line Spectral Frequency (LSF) features extracted directly from G.729 encoded bitstream improved significantly the recognition performance compared with the Mel Frequency Cepstral Coefficients (MFCC) features extracted from decoded speech.

Keywords

audio databases; feature extraction; speaker recognition; speech coding; support vector machines; ARADIGIT database; G.729 bitstream; Internet protocol; MFCC; SVM; VoIP; decoded speech; feature extraction; line spectral frequency; mel frequency cepstral coefficients; robust Arabic speaker verification system; support vector machine; Databases; Feature extraction; Noise measurement; Speech; Speech coding; Support vector machines; Vectors; G729; LSF; MFCC; SVM; Speaker Verification; VoIP;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on

Conference_Location

Southampton

ISSN

1551-2541

Type

conf

DOI

10.1109/MLSP.2013.6661939

Filename

6661939