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Acoustic Source Localization With Distributed Asynchronous Microphone Networks

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4 Author(s)
Canclini, A. ; Dipt. di Elettron. ed Inf., Politec. di Milano, Milan, Italy ; Antonacci, E. ; Sarti, A. ; Tubaro, S.

We propose a method for localizing an acoustic source with distributed microphone networks. Time Differences of Arrival (TDOAs) of signals pertaining the same sensor are estimated through Generalized Cross-Correlation. After a TDOA filtering stage that discards measurements that are potentially unreliable, source localization is performed by minimizing a fourth-order polynomial that combines hyperbolic constraints from multiple sensors. The algorithm turns to exhibit a significantly lower computational cost compared with state-of-the-art techniques, while retaining an excellent localization accuracy in fairly reverberant conditions.

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Audio, Speech, and Language Processing, IEEE Transactions on  (Volume:21 ,  Issue: 2 )