Sign in
Back
Speaker Verification Using Gaussian Mixture Model (GMM)
Conference proceeding

Speaker Verification Using Gaussian Mixture Model (GMM)

H. Hussain, S. H. Salleh, C. M. Ting, A. K. Ariff, I. Kamarulafizam and R. A. Suraya
5TH KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2011 (BIOMED 2011), Vol.35, pp.560-564
IFMBE Proceedings
01/01/2011
DOI: https://doi.org/10.1007/978-3-642-21729-6_140

Abstract

Engineering Engineering, Biomedical Science & Technology Technology
This paper applies GMM for SV on Malay speech. The speaker models were trained on maximum likelihood estimated. The system was evaluated with 23 client speakers with 56 imposters. Malay clean speech data was used. 20 training of 3.5s utterances are used. The best performance achieved using 256-Gaussian imposter model and 32-Gaussian client model gave 3.01% of EER.

Metrics

1 Record Views

Details