Binaural tracking of multiple moving sources

This paper presents a novel method for tracking the azimuth locations of multiple active sources based on binaural processing. Binaural cues are strongly correlated with source locations for spectral regions dominated by only one source. Therefore, this approach integrates reliable information across different frequency channels to produce a likelihood function in the target space. Finally, a hidden Markov model (HMM) is employed for forming continuous tracks and detecting the number of active sources across time. Experimental results are presented for simulated multi-source scenarios.