NDLI: Unified approach for audio source separation with multichannel factorial HMM and DOA mixture model

Content Provider	IEEE Xplore Digital Library
Author	Higuchi, T. Kameoka, H.
Copyright Year	2015
Description	Author affiliation: Grad. Sch. of Inf. Sci. & Technol., Univ. of Tokyo, Tokyo, Japan (Higuchi, T.; Kameoka, H.)
Abstract	We deal with the problems of blind source separation, dereverberation, audio event detection and direction-of-arrival (DOA) estimation. We previously proposed a generative model of multichannel signals called the multichannel facto rial hidden Markov model, which allows us to simultaneously solve these problems through a joint optimization problem formulation. In this approach, we modeled the spatial cor relation matrix of each source as a weighted sum of the spatial correlation matrices corresponding to all possible DOAs. However, it became clear through real environment experiments that the estimate of the spatial correlation matrix tended to deviate from the actual correlation matrix since the plane wave assumption does not hold due to reverber ation and noise components. To handle such deviations, we propose introducing a prior distribution over the spatial correlation matrices called the DOA mixture model instead of using the weighted sum model. The experiment showed that the proposed method provided 1.94 [dB] improvement compared with our previous method in terms of the the signal-to-distortion ratios of separated signals.
Starting Page	2043
Ending Page	2047
File Size	497468
Page Count	5
File Format	PDF
ISBN	9780992862633
ISSN	20761465
DOI	10.1109/EUSIPCO.2015.7362743
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-31
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	DOA estimation Voice activity detection Time-frequency analysis Correlation Direction-of-arrival estimation Source separation Hidden Markov models Dereverberation Blind source separation Arrays Microphones
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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