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Using second-order hidden Markov model to improve speaker identification recognition performance under neutral condition

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1 Author(s)
I. Shahin ; Electr./Electron. & Comput. Eng. Dept., Univ. of Sharjah, United Arab Emirates

In this paper, second-order hidden Markov model (HMM2) has been used and implemented to improve the recognition performance of text-dependent speaker identification systems under neutral talking condition. Our results show that HMM2 improves the recognition performance under neutral talking condition compared to the first-order hidden Markov model (HMM1). The recognition performance has been improved by 9%.

Published in:

Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on  (Volume:1 )

Date of Conference:

14-17 Dec. 2003