Presentation 2000/6/15
SP2000-12 Speaker Recognition by Projection to Speaker Complementary Space
Masafumi Nishida, Yasuo Ariki,
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Abstract(in English) In speaker recognition, it is a problem that variation of speech features is caused by sentences and time difference. If phonetic information and speaker information included in speech data can be separated, robust speaker recognition will be realized. We havealready proposed a speaker recognition method using a aubspace method based on principal component analysis in order to extract only speaker information included in speech data. Speaker eigenspace constructed by the subspace mathod represents a speaker information, but does not always represent differece from other speakers. In this study, we propose a speaker verification method that trains speaker models by VQ or GMM in the complementary space which can represent difference from other speakers. We carried out comparative experiments between the proposed method and conventional VQ and GMM trained in an observation space. As a result, it is clarified that the proposed method is effective in a case of a few codebooks or mixture densities in speaker complementary space.
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Keyword(in English) speaker verification / subspace method / speaker eigenspace / speaker complementary space / discrimi-nant analysis
Paper # SP2000-12
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Conference Information
Committee SP
Conference Date 2000/6/15(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) SP2000-12 Speaker Recognition by Projection to Speaker Complementary Space
Sub Title (in English)
Keyword(1) speaker verification
Keyword(2) subspace method
Keyword(3) speaker eigenspace
Keyword(4) speaker complementary space
Keyword(5) discrimi-nant analysis
1st Author's Name Masafumi Nishida
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Yasuo Ariki
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 2000/6/15
Paper # SP2000-12
Volume (vol) vol.100
Number (no) 136
Page pp.pp.-
#Pages 6
Date of Issue