Multiple Sound Source Localization and Counting Using One Pair of Microphones in Noisy and Reverberant Environments

Abstract EN

A multiple sound source localization and counting method based on an angular spectrum is proposed in this paper.

Local signal-to-noise ratio tracking, onset detection, and a coherence test are introduced to filter the generalized cross-correlation angular spectrum in the time-frequency domain for multiple sound source localization and counting in noisy and reverberant environments.

Then, dual-width matching pursuit is introduced to replace peak search as the method of localization and counting.

A comprehensive comparison of two statistical indicators, mean precision and mean absolute estimated error, indicates that the proposed localization and counting algorithm using both the filtered angular spectrum and dual-width matching pursuit method is more robust and accurate than the classic counterpart, especially in environments with low signal-to-noise ratio, strong reverberation, and abundant sound sources.