Time difference of arrival estimation exploiting multichannel spatio-temporal prediction

He, H; Wu, L; Lu, J; Qiu, X; Chen, J

Time difference of arrival estimation exploiting multichannel spatio-temporal prediction

He, H Wu, L Lu, J Qiu, X

Chen, J

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Audio, Speech and Language Processing, 2013, 21 (3), pp. 463 - 475
Issue Date:: 2013-01-17

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Field	Value	Language
dc.contributor.author	He, H	en_US
dc.contributor.author	Wu, L	en_US
dc.contributor.author	Lu, J	en_US
dc.contributor.author	Qiu, X https://orcid.org/0000-0002-5181-1220	en_US
dc.contributor.author	Chen, J	en_US
dc.date.issued	2013-01-17	en_US
dc.identifier.citation	IEEE Transactions on Audio, Speech and Language Processing, 2013, 21 (3), pp. 463 - 475	en_US
dc.identifier.issn	1558-7916	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116887
dc.description.abstract	To localize sound sources in room acoustic environments, time differences of arrival (TDOA) between two or more microphone signals must be determined. This problem is often referred to as time delay estimation (TDE). The multichannel cross-correlation-coefficient (MCCC) algorithm, which is an extension of the traditional cross-correlation method from two-to multiple-channel cases, exploits spatial information among multiple microphones to improve the robustness of TDE. In this paper, we propose a multichannel spatio-temporal prediction (MCSTP) algorithm, which can be viewed as a generalization of the MCCC principle from using only spatial information to using both spatial and temporal information. A recursive version of this new algorithm is then developed, which can achieve similar performance as MCSTP, but is computationally more efficient. Experimental results in reverberant and noisy environments demonstrate the advantages of this new method for TDE. © 2006-2012 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Audio, Speech and Language Processing	en_US
dc.relation.isbasedon	10.1109/TASL.2012.2223674	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Speech-Language Pathology & Audiology	en_US
dc.title	Time difference of arrival estimation exploiting multichannel spatio-temporal prediction	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	21	en_US
utslib.for	091301 Acoustics and Noise Control (excl. Architectural Acoustics)	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	21	en_US

Abstract:

To localize sound sources in room acoustic environments, time differences of arrival (TDOA) between two or more microphone signals must be determined. This problem is often referred to as time delay estimation (TDE). The multichannel cross-correlation-coefficient (MCCC) algorithm, which is an extension of the traditional cross-correlation method from two-to multiple-channel cases, exploits spatial information among multiple microphones to improve the robustness of TDE. In this paper, we propose a multichannel spatio-temporal prediction (MCSTP) algorithm, which can be viewed as a generalization of the MCCC principle from using only spatial information to using both spatial and temporal information. A recursive version of this new algorithm is then developed, which can achieve similar performance as MCSTP, but is computationally more efficient. Experimental results in reverberant and noisy environments demonstrate the advantages of this new method for TDE. © 2006-2012 IEEE.

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http://hdl.handle.net/10453/116887