Synthesis of ICA-based methods for localization of multiple broadband sound sources

Lombard A, Zheng Y, Kellermann W (2011)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2011

Pages Range: 157-160

Article Number: 5946364

Event location: Prague CZ

ISBN: 9781457705397

DOI: 10.1109/ICASSP.2011.5946364

Abstract

In this paper, minimization of the statistical dependence is exploited for acoustic source localization purposes. Originally developed for the separation of signal mixtures, we show that Independent Component Analysis (ICA) can also be successfully applied to localize multiple simultaneously active sound sources, with possibly less sensors than sources. First, the recently proposed Averaged Directivity Pattern (ADP) and State Coherence Transform (SCT) methods are reviewed. Similarities and differences between both approaches are underlined and analyzed, leading to a new method merging elements from both concepts, which we call the Modified ADP (MADP). Since the investigated methods do not suffer from the permutation ambiguity, they can be applied in combination with any narrowband or broadband ICA algorithm, without the need to solve the still challenging permutation issue. Experimental results are presented for speech sources in a reverberant environment. © 2011 IEEE.

Authors with CRIS profile

Yuanhang Zheng Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Walter Kellermann Professur für Signalverarbeitung

How to cite

APA:

Lombard, A., Zheng, Y., & Kellermann, W. (2011). Synthesis of ICA-based methods for localization of multiple broadband sound sources. In Proceedings of the 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 (pp. 157-160). Prague, CZ.

MLA:

Lombard, Anthony, Yuanhang Zheng, and Walter Kellermann. "Synthesis of ICA-based methods for localization of multiple broadband sound sources." Proceedings of the 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague 2011. 157-160.

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