Indoor sound source localization and number estimation using infinite Gaussian mixture models
Longji Sun, Qi Cheng · 2014 48th Asilomar Conference on Signals, Systems and Computers · 2014
This paper deals with sound source number estimation and localization in indoor environments using a circular microphone array. The problem is approached in the time-frequency (TF) domain by performing a single source localization algorithm at selected TF points and consequently generating one direction of arrival (DOA) estimate at each of the points. The resulted DOA estimates are assumed from an infinite Gaussian mixture model. The number and the means of Gaussian components correspond to the number and the true DOAs of the sources, respectively. The proposed algorithm is tested using real experiments.