Presentation 2001/12/13
Voice Activity Detection for Sentence Utterances Using Environment Sound Models and HMM Composition
Narimasa WATANABE, Takeshi YAMADA, Nobuhiko KITAWAKI, Futoshi ASANO,
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Abstract(in English) To realize a robust voice activity detection(VAD) method in real acoustic environments, we have proposed a VAD method using environment sound models and HMM composition. The proposed method predicts the environment sound that overlaps with the speech, then composes the speech model and the model of the predicted environment sound, and detects the mixture sound period by using the composed models. In this paper, the proposed method is applied to the case of sentence utterances. To evaluate the performance of the proposed method is applied to the case of sentence utterances. To that the VAD accuracy of the proposed method is improved by a maximum of 4.7% compared to that of the conventional methods.
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Keyword(in English) Voiee activity detection / Viterbi alignment / environment sound models / HMM composition
Paper # NLC2001-53,SP2001-88
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Conference Information
Committee SP
Conference Date 2001/12/13(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Voice Activity Detection for Sentence Utterances Using Environment Sound Models and HMM Composition
Sub Title (in English)
Keyword(1) Voiee activity detection
Keyword(2) Viterbi alignment
Keyword(3) environment sound models
Keyword(4) HMM composition
1st Author's Name Narimasa WATANABE
1st Author's Affiliation Master's Program in Science and Engineering, Uinversity of Tsukuba()
2nd Author's Name Takeshi YAMADA
2nd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
3rd Author's Name Nobuhiko KITAWAKI
3rd Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
4th Author's Name Futoshi ASANO
4th Author's Affiliation Nationa1 Institute of Advanced Industrial Science and Technology
Date 2001/12/13
Paper # NLC2001-53,SP2001-88
Volume (vol) vol.101
Number (no) 522
Page pp.pp.-
#Pages 6
Date of Issue