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

  • Authors:
  • Maximo Cobos;Jose J. Lopez;David Martinez

  • Affiliations:
  • Universidad Politécnica de Valencia, Institute of Telecommunications and Multimedia Applications (iTEAM), Camino de Vera S/N, Building 8G, Valencia, Spain;Universidad Politécnica de Valencia, Institute of Telecommunications and Multimedia Applications (iTEAM), Camino de Vera S/N, Building 8G, Valencia, Spain;Universidad Politécnica de Valencia, Institute of Telecommunications and Multimedia Applications (iTEAM), Camino de Vera S/N, Building 8G, Valencia, Spain

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2011

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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.