Two-microphone multi-speaker localization based on a Laplacian Mixture Model

Autores UPV
Año
Revista DIGITAL SIGNAL PROCESSING

Abstract

A method for multiple speaker localization using a two-microphone array is presented. Based on the disjointness property of speech signals in the time-frequency (TF) domain, the proposed approach models the distribution of Direction-Of-Arrival (DOA) estimates in the TF plane using a Laplacian Mixture Model (LMM). Reliable DOA estimates are pre-selected using a coherence-based criterion before fitting the model by means of the Expectation-Maximization (EM) algorithm. Results using public available data show the capability of the method to successfully detect the DOA of several sources in real environments. © 2010 Elsevier Inc. All rights reserved.