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Communication Dans Un Congrès Année : 2012

Source counting in real-time sound source localization using a circular microphone array

Résumé

Recently, we proposed an approach inspired by Sparse Component Analysis for real-time localization of multiple sound sources using a circular microphone array. The method was based on identifying time-frequency zones where only one source is active, reducing the problem to single-source localization for these zones. A histogram of estimated Directions of Arrival (DOAs) was formed and then processed to obtain improved DOA estimates, assuming that the number of sources was known. In this paper, we extend our previous work by proposing three different methods for counting the number of sources by looking for prominent peaks in the derived histogram based on: (a) performing a peak search, (b) processing an LPC-smoothed version of the histogram, (c) employing a matching pursuit-based approach. The third approach is shown to perform very accurately in simulated reverberant conditions and additive noise, and its computational requirements are very small.
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Dates et versions

hal-00772688 , version 1 (09-12-2016)

Identifiants

Citer

Despoina Pavlidi, Anthony Griffin, Matthieu Puigt, Athanasios Mouchtaris. Source counting in real-time sound source localization using a circular microphone array. 7th IEEE Sensor Array and Multichannel Signal Processing (SAM 2012), 2012, Hoboken, NJ, United States. pp.521-524, ⟨10.1109/SAM.2012.6250555⟩. ⟨hal-00772688⟩
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