Optimization of speaker verification using adapted Gaussian mixture models for high quality databases

Authors:
Ramin Shaghaghi Kandovan;Mohammad Reza Karim Lashkari;Yashar Etemad
Affiliations:
Communication Engineering Department, Islamic Azad University Shahre Rey branch, Tehran, Iran;Electrical Engineering Department, Islamic Azad University of Najaf Abad, Najaf Abad, Iran;Electrical Engineering Department, Technical Faculty, science and Research Campus of Islamic Azad University, Tehran, Iran
Venue:
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Year:
2007

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Abstract

In This paper, speaker Verification is simulated using Adapted Gaussian Mixture Model-Universal back ground Model (GMM-UBM) [1]. The voice resource used during this research is supplied by a Tv-card used in computers and has high SNR without band-width limitation. The results of this research are closer to the optimum state and have differences from other results obtained in other researches because of the following two reasons. First, high quality of voice resource. Second, use of all parameters existing in UBM, for achieving a speaker model. For example results achieved in this paper disproof claimant of Mr. Raynolds in[1].