Presentation 2000/1/21
Speaker Verification by Integrating Dynamic and Static Features Using Subspace Method
Masafumi Nishida, Yasuo Ariki,
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Abstract(in English) In spaeker 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. In this study, we try and propose a speaker verification method using subspace method based on principal component analysis in order to extract only speaker information included in speech data. We also propose an integration of dynamic and static features in speaker eigenspace in order to robustly normalize a variation of speech features. We carried out comparative experiments between proposed method and GMM that is a conventional method. As a result, the proposed method has shown the same verification performance as GMM and was effective for speaker verification.
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Keyword(in English) speaker verification / subspace method / speaker eigenspace / dynamic and static features for speaker
Paper # SP99-137
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Conference Information
Committee SP
Conference Date 2000/1/21(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 Verification by Integrating Dynamic and Static Features Using Subspace Method
Sub Title (in English)
Keyword(1) speaker verification
Keyword(2) subspace method
Keyword(3) speaker eigenspace
Keyword(4) dynamic and static features for speaker
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 2000/1/21
Paper # SP99-137
Volume (vol) vol.99
Number (no) 577
Page pp.pp.-
#Pages 6
Date of Issue