Universiti Teknologi Malaysia Institutional Repository

Speaker verification using Gaussian mixture model (GMM)

Shaikh Salleh, Sheikh Hussain and Ting, C. M. and Ariff, A. K. and Kamarulafizam, I. and Suraya, R. A. and Hussain, H. (2011) Speaker verification using Gaussian mixture model (GMM). In: 2011 5th Kuala Lumpur International Conference on Biomedical Engineering - IFMBE Proceedings. Springer, Kuala Lumpur, pp. 560-564. ISBN 978-364221728-9

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Official URL: http://dx.doi.org/10.1007/978-3-642-21729-6_140

Abstract

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.

Item Type:Book Section
Uncontrolled Keywords:speaker verification, gaussian mixture model, equal error rate
Subjects:T Technology > T Technology (General)
ID Code:30075
Deposited By: Fazli Masari
Deposited On:21 Apr 2013 03:30
Last Modified:01 Aug 2017 03:29

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