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

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...

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Main Authors: Tetsuya Takiguchi, Yuji Sumida, Ryoichi Takashima, Yasuo Ariki
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2009/918404
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author Tetsuya Takiguchi
Yuji Sumida
Ryoichi Takashima
Yasuo Ariki
author_facet Tetsuya Takiguchi
Yuji Sumida
Ryoichi Takashima
Yasuo Ariki
author_sort Tetsuya Takiguchi
collection DOAJ
description 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.
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spelling doaj.art-5919de5a265246ee87a956515f52ed6f2022-12-22T03:06:43ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802009-01-01200910.1155/2009/918404Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer FunctionsTetsuya TakiguchiYuji SumidaRyoichi TakashimaYasuo ArikiThis 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.http://dx.doi.org/10.1155/2009/918404
spellingShingle Tetsuya Takiguchi
Yuji Sumida
Ryoichi Takashima
Yasuo Ariki
Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions
EURASIP Journal on Advances in Signal Processing
title Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions
title_full Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions
title_fullStr Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions
title_full_unstemmed Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions
title_short Single-Channel Talker Localization Based on Discrimination of Acoustic Transfer Functions
title_sort single channel talker localization based on discrimination of acoustic transfer functions
url http://dx.doi.org/10.1155/2009/918404
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AT yujisumida singlechanneltalkerlocalizationbasedondiscriminationofacoustictransferfunctions
AT ryoichitakashima singlechanneltalkerlocalizationbasedondiscriminationofacoustictransferfunctions
AT yasuoariki singlechanneltalkerlocalizationbasedondiscriminationofacoustictransferfunctions