Skip to content


  • Research Article
  • Open Access

Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions

  • 1Email author,
  • 1,
  • 1 and
  • 1
EURASIP Journal on Advances in Signal Processing20092009:918404

  • Received: 5 June 2008
  • Accepted: 5 February 2009
  • Published:


This paper presents a sound source (talker) localization method using only a single microphone, where a Gaussian Mixture Model (GMM) of clean speech is introduced to estimate the acoustic transfer function from a user's position. The new method is able to carry out this estimation without measuring impulse responses. The frame sequence of the acoustic transfer function is estimated by maximizing the likelihood of training data uttered from a given position, where the cepstral parameters are used to effectively represent useful clean speech. Using the estimated frame sequence data, the GMM of the acoustic transfer function is created to deal with the influence of a room impulse response. Then, for each test dataset, we find a maximum-likelihood (ML) GMM from among the estimated GMMs corresponding to each position. The effectiveness of this method has been confirmed by talker localization experiments performed in a room environment.


  • Mixture Model
  • Impulse Response
  • Quantum Information
  • Gaussian Mixture Model
  • Sound Source

Publisher note

To access the full article, please see PDF.

Authors’ Affiliations

Organization of Advanced Science and Technology, Kobe University, Kobe 657-8501, Japan


© Tetsuya Takiguchi et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.