The Robustness Effect of Acoustic Source Localization on Blind Source Separation and Deconvolution Systems

We study the performance gain in blind source separation and deconvolution (BSSD) systems when acoustic source localization (ASL) has been employed as a pre-processing step. The study is organized using performance measures that are functions of the accuracy of the ASL system and the reverberation l...

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Bibliographic Details
Published in2007 15th International Conference on Digital Signal Processing pp. 339 - 342
Main Authors Talantzis, F., Constantinides, A.G., Boukis, C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
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ISBN1424408814
9781424408818
ISSN1546-1874
DOI10.1109/ICDSP.2007.4288588

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Summary:We study the performance gain in blind source separation and deconvolution (BSSD) systems when acoustic source localization (ASL) has been employed as a pre-processing step. The study is organized using performance measures that are functions of the accuracy of the ASL system and the reverberation level. We specifically investigate the cases (a) where the actual positions of the sources are known (b) where the ASL system generates estimates subject to errors. Simulations are performed using actual BSSD systems. Using derived performance measures we show that performance of a BSSD system that knows the position of the sources accurately, benefits from this apriori knowledge.
ISBN:1424408814
9781424408818
ISSN:1546-1874
DOI:10.1109/ICDSP.2007.4288588