Real-Time Multiple Sound Source Localization and Counting Using a Circular Microphone Array

In this work, a multiple sound source localization and counting method is presented, that imposes relaxed sparsity constraints on the source signals. A uniform circular microphone array is used to overcome the ambiguities of linear arrays, however the underlying concepts (sparse component analysis a...

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Vydáno v:	IEEE transactions on audio, speech, and language processing Ročník 21; číslo 10; s. 2193 - 2206
Hlavní autoři:	Pavlidi, Despoina, Griffin, Anthony, Puigt, Matthieu, Mouchtaris, Athanasios
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway, NJ IEEE 01.10.2013 Institute of Electrical and Electronics Engineers
Témata:	Applied sciences Arrays Circularity Computer Science Counting Detection, estimation, filtering, equalization, prediction Direction of arrival estimation Estimates Estimation Exact sciences and technology Histograms Information, signal and communications theory Matching matching pursuit Matching pursuit algorithms microphone array signal processing Microphones Miscellaneous multiple source localization Position (location) real-time localization Real-time systems Signal and communications theory Signal and Image Processing Signal processing Signal, noise Sound sources source counting sparse component analysis Telecommunications and information theory Time-frequency analysis Performance evaluation Direction-of-arrival estimation State of the art Histogram Microphone Array signal processing multiple source localization Signal estimation sparse component analysis Iterative method Accuracy Matching pursuit Linear antenna arrays source counting Antenna array Direction of arrival estimation Target detection Signal detection Circular antenna Acoustic signal detection Sound source Conceptual analysis Computational complexity real-time localization Simulation Source localization microphone array signal processing Sensor array Signal to noise ratio direction of arrival estimation matching pursuit
ISSN:	1558-7916, 1558-7924
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Shrnutí:	In this work, a multiple sound source localization and counting method is presented, that imposes relaxed sparsity constraints on the source signals. A uniform circular microphone array is used to overcome the ambiguities of linear arrays, however the underlying concepts (sparse component analysis and matching pursuit-based operation on the histogram of estimates) are applicable to any microphone array topology. Our method is based on detecting time-frequency (TF) zones where one source is dominant over the others. Using appropriately selected TF components in these "single-source" zones, the proposed method jointly estimates the number of active sources and their corresponding directions of arrival (DOAs) by applying a matching pursuit-based approach to the histogram of DOA estimates. The method is shown to have excellent performance for DOA estimation and source counting, and to be highly suitable for real-time applications due to its low complexity. Through simulations (in various signal-to-noise ratio conditions and reverberant environments) and real environment experiments, we indicate that our method outperforms other state-of-the-art DOA and source counting methods in terms of accuracy, while being significantly more efficient in terms of computational complexity.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1558-7916 1558-7924
DOI:	10.1109/TASL.2013.2272524