Title | ||
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A class of multichannel sparse linear prediction algorithms for time delay estimation of speech sources |
Abstract | ||
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•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 |
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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 He | 1 | 23 | 4.89 |
Jingdong Chen | 2 | 1460 | 128.79 |
Jacob Benesty | 3 | 1386 | 136.42 |
Wenxing Zhang | 4 | 0 | 0.34 |
Tao Yang | 5 | 2 | 1.05 |