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

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.