Presentation 2015-03-02
Unified approach for BSS, DOA estimation, audio event detection and dereverberation with multichannel factorial HMM and DOA mixture model
Takuya HIGUCHI, Hirokazu KAMEOKA,
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Abstract(in English) We deal with the problems of blind source separation, dereverberation, audio event detection and DOA estimation. We previously proposed the multichannel factorial hidden Markov model, and simultaneously solved those problems. In this paper, we apply the DOA mixture model for modeling the spatial correlation matrix. Experimental results revealed that the proposed method was superior to our previous method in terms of the signal-to-distortion ratios of separated signals.
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Keyword(in English) blind source separation / dereverberation / audio event detection / DOA estimation
Paper # EA2014-74,SIP2014-115,SP2014-137
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Committee EA
Conference Date 2015/2/23(1days)
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Language JPN
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Title (in English) Unified approach for BSS, DOA estimation, audio event detection and dereverberation with multichannel factorial HMM and DOA mixture model
Sub Title (in English)
Keyword(1) blind source separation
Keyword(2) dereverberation
Keyword(3) audio event detection
Keyword(4) DOA estimation
1st Author's Name Takuya HIGUCHI
1st Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo()
2nd Author's Name Hirokazu KAMEOKA
2nd Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo:NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation
Date 2015-03-02
Paper # EA2014-74,SIP2014-115,SP2014-137
Volume (vol) vol.114
Number (no) 473
Page pp.pp.-
#Pages 6
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