Title
A class of multichannel sparse linear prediction algorithms for time delay estimation of speech sources
Abstract
•It develops a multichannel sparse linear prediction approach to time delay estimation of acoustics sources in reverberant and noisy environments, which can be viewed as a generalization of the previously developed multichannel cross-correlation coefficient (MCCC) algorithm and the multichannel spatio-temporal prediction (MCSTP) algorithm.•Based on the sparsity of the prediction coefficient matrix of speech signals, a class of algorithms are developed for TDE, including the multichannel spatio-temporal sparse prediction and the multichannel spatio-temporal group sparse prediction algorithms.•Through theoretical analysis and simulations, it is shown that the developed TDE algorithms are more robust to noise and reverberation than the MCCC and MCSTP algorithms.
Year
DOI
Venue
2020
10.1016/j.sigpro.2019.107395
Signal Processing
Keywords
Field
DocType
Acoustic source localization,Time delay estimation,Time difference of arrival,Prewhitening,Microphone arrays,Multichannel linear prediction,Spatiotemporal prediction,Sparsity,Group sparsity,Alternating direction method of multipliers
Mathematical optimization,Algorithm,Linear prediction,Mathematics
Journal
Volume
ISSN
Citations 
169
0165-1684
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Hongsen He1234.89
Jingdong Chen21460128.79
Jacob Benesty31386136.42
Wenxing Zhang400.34
Tao Yang521.05