Time difference of arrival estimation exploiting multichannel spatio-temporal prediction

Publication Type:
Journal Article
Citation:
IEEE Transactions on Audio, Speech and Language Processing, 2013, 21 (3), pp. 463 - 475
Issue Date:
2013-01-17
Full metadata record
Files in This Item:
Filename Description Size
06327613.pdfPublished Version3.4 MB
Adobe PDF
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.
Please use this identifier to cite or link to this item: