A method for locating multiple sources from a frame of a large-aperture microphone array data without tracking

In this paper we present a new method for locating multiple sound sources using only a local segment of data from a large-aperture microphone array. The result of this work may be used directly or as an open-loop input to a tracking algorithm. The proposed method employs the provenrobust steered response power using the phase transform as a functional, agglomerative clustering, and low-cost global optimization (stochastic region contraction). Testing on real data from five talkers in a noisy environment, we show that, for each frame, our method finds correct locations of active sources under high noise and reverberation conditions without a priori knowledge of the number of sources.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Hoang Do, Harvey F. Silverman
• Keywords: ICASSP 2008, Large-aperture Microphone Array, Multiple Sound Sources, Signal Processing, Stochastic Region Contraction