Multiple sound source location estimation and counting in a wireless acoustic sensor network

In this work, we consider the multiple sound source location estimation and counting problem in a wireless acoustic sensor network, where each sensor consists of a microphone array. Our method is based on inferring a location estimate for each frequency of the captured signals. A clustering approach-where the number of clusters (i.e., sound sources) is also an unknown parameter-is then employed to decide on the number of sources and their locations. The efficiency of our proposed method is evaluated through simulations and real recordings in scenarios with up to three simultaneous sound sources for different signal-to-noise ratios and reverberation times.