Improving Multiband Position-Pitch Algorithm for Localization and Tracking of Multiple Concurrent Speakers by Using a Frequency Selective Criterion

We present an auditory inspired frequency selective extension to the multiband position-pitch (MPoPi) algorithm and a new particle filtering algorithm for localization and tracking of an arbitrary number of concurrent speakers. In the particle filtering framework, we combine standard bootstrap with importance sampling techniques. The proposed algorithm was tested on real-world recordings using a 24 channel microphone array in a meeting room for different location and speaker combinations. The results show that using the frequency selective criterion outperforms state-of-the-art and our original algorithms.