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Junbo Zhao
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Computer Science & IT Library & Information Science

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IMPROVED DESIGN OF DTW AND GMM CASCADED ARABIC SPEAKER Shuoshuo Chen; Junbo Zhao; Ruiqi Yang
Jurnal Ilmu Komputer dan Informasi Vol 6, No 2 (2013): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.823 KB) | DOI: 10.21609/jiki.v6i2.221

Abstract

In this paper, we discuss about the design, implementation and assessment of a two-stage Arabic speaker recognition system, which aims to recognize a target Arabic speaker among several people. The first stage uses improved DTW (Dynamic Time Warping) algorithm and the second stage uses SA-KM-based GMM (Gaussian Mixture Model). MFCC (Mel Frequency Cepstral Coefficients) and its differences form, as acoustic feature, are extracted from the sample speeches. DTW provides three most possible speakers and then the recognition results are conveyed to GMM training processes. A specified similarity assessment algorithm, KL distance, is applied to find the best match with the target speaker. Experimental results show that text-independent recognition rate of the cascaded system reaches 90 percent.
Co-Authors Ruiqi Yang Shuoshuo Chen