Presentation 2000/9/22
Speaker Recognition Using Multi-SNR Subband GMM under Noisy Environments
Kenichi YOSHIDA, Kazuyuki TAKAGI, Kazuhiko OZEKI,
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Abstract(in English) When a speech signal is divided into multiple subbands in the spectral domain, the contribution of each subband to speaker recognition is different, depending on the amount of speaker information and phonetic information contained in it. To exploit such a fact, a subband model is effective, which is a set of GMMs, each trained on a subband separately. In real environments, however, a speech signal is usually corrupted with noise. Therefore, in making such a model, it is necessary to take the effect of noise into consideration. In this paper, we propose a Multi-SNR Subband Model, which has enhanced rebustness against noise by using multiple GMMs trained with speech signals of various SNRs for each subband. In text-independent speaker indentification experiments under various noisy environments, it was confirmed that this model achieves a higher recognition performance than conventional models. It was also made clear that optimization of the recombination weights is effective to improve the performance.
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Keyword(in English) multi-SNR / subband GMM / speaker indentification / text-independence / likelihood recombination weght
Paper # DSP2000-97,SP2000-63
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Committee SP
Conference Date 2000/9/22(1days)
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Paper Information
Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Speaker Recognition Using Multi-SNR Subband GMM under Noisy Environments
Sub Title (in English)
Keyword(1) multi-SNR
Keyword(2) subband GMM
Keyword(3) speaker indentification
Keyword(4) text-independence
Keyword(5) likelihood recombination weght
1st Author's Name Kenichi YOSHIDA
1st Author's Affiliation The University of Electro-Communications()
2nd Author's Name Kazuyuki TAKAGI
2nd Author's Affiliation The University of Electro-Communications
3rd Author's Name Kazuhiko OZEKI
3rd Author's Affiliation The University of Electro-Communications
Date 2000/9/22
Paper # DSP2000-97,SP2000-63
Volume (vol) vol.100
Number (no) 328
Page pp.pp.-
#Pages 7
Date of Issue