Single-channel talker localization based on discrimination of acoustic transfer functions

Authors:
Tetsuya Takiguchi;Yuji Sumida;Ryoichi Takashima;Yasuo Ariki
Affiliations:
Organization of Advanced Science and Technology, Kobe University, Kobe, Japan;Organization of Advanced Science and Technology, Kobe University, Kobe, Japan;Organization of Advanced Science and Technology, Kobe University, Kobe, Japan;Organization of Advanced Science and Technology, Kobe University, Kobe, Japan
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2009

Citing 2
Cited 0

Robust Talker Direction Estimation Based on Weighted CSP Analysis and Maximum Likelihood Estimation

IEICE - Transactions on Information and Systems
Acoustic source location in noisy and reverberant environment using CSP analysis

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02

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Abstract

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.