Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.1/11825 |
Resumo: | The Generalized Cross Correlation (GCC) framework is one of the most widely used methods for Time Difference Of Arrival (TDOA) estimation and Sound Source Localization (SSL). TDOA estimation using cross correlation without any pre-filtering of the received signals has a large number of errors in real environments. Thus, several filters (weighting functions) have been proposed in the literature to improve the performance of TDOA estimation. These functions aim to mitigate TDOA estimation error in noisy and reverberant environments. Most of these methods consider the noise or reverberation, and as one of them increases, TDOA estimation error increases. In this paper, we propose a new weighting function. This function is a combined and modified version of Maximum Likelihood (ML) and PHAT-rho gamma functions. We named our proposed function as Modified Maximum Likelihood with Coherence (MMLC). This function has merits of both ML and PHAT-rho gamma functions and can work properly in both noisy and reverberant environments. We evaluate our proposed weighting function using real and synthesized datasets. Simulation results show that our proposed filter has better performance in terms of TDOA estimation error and anomalous estimations. (c) 2017 Sharif University of Technology. All rights reserved. |
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Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting functionSource localizationEnvironmentsDelayReverberantMicrophonesNoisyThe Generalized Cross Correlation (GCC) framework is one of the most widely used methods for Time Difference Of Arrival (TDOA) estimation and Sound Source Localization (SSL). TDOA estimation using cross correlation without any pre-filtering of the received signals has a large number of errors in real environments. Thus, several filters (weighting functions) have been proposed in the literature to improve the performance of TDOA estimation. These functions aim to mitigate TDOA estimation error in noisy and reverberant environments. Most of these methods consider the noise or reverberation, and as one of them increases, TDOA estimation error increases. In this paper, we propose a new weighting function. This function is a combined and modified version of Maximum Likelihood (ML) and PHAT-rho gamma functions. We named our proposed function as Modified Maximum Likelihood with Coherence (MMLC). This function has merits of both ML and PHAT-rho gamma functions and can work properly in both noisy and reverberant environments. We evaluate our proposed weighting function using real and synthesized datasets. Simulation results show that our proposed filter has better performance in terms of TDOA estimation error and anomalous estimations. (c) 2017 Sharif University of Technology. All rights reserved.Elsevier Science BvSapientiaHosseini, M. S.Rezaie, A. H.Zanjireh, Y.2018-12-07T14:58:02Z2017-122017-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11825eng1026-309810.24200/sci.2017.4355info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:23:41Zoai:sapientia.ualg.pt:10400.1/11825Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:03:16.501120Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
title |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
spellingShingle |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function Hosseini, M. S. Source localization Environments Delay Reverberant Microphones Noisy |
title_short |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
title_full |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
title_fullStr |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
title_full_unstemmed |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
title_sort |
Time difference of arrival estimation of sound source using cross correlation and modified maximum likelihood weighting function |
author |
Hosseini, M. S. |
author_facet |
Hosseini, M. S. Rezaie, A. H. Zanjireh, Y. |
author_role |
author |
author2 |
Rezaie, A. H. Zanjireh, Y. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Hosseini, M. S. Rezaie, A. H. Zanjireh, Y. |
dc.subject.por.fl_str_mv |
Source localization Environments Delay Reverberant Microphones Noisy |
topic |
Source localization Environments Delay Reverberant Microphones Noisy |
description |
The Generalized Cross Correlation (GCC) framework is one of the most widely used methods for Time Difference Of Arrival (TDOA) estimation and Sound Source Localization (SSL). TDOA estimation using cross correlation without any pre-filtering of the received signals has a large number of errors in real environments. Thus, several filters (weighting functions) have been proposed in the literature to improve the performance of TDOA estimation. These functions aim to mitigate TDOA estimation error in noisy and reverberant environments. Most of these methods consider the noise or reverberation, and as one of them increases, TDOA estimation error increases. In this paper, we propose a new weighting function. This function is a combined and modified version of Maximum Likelihood (ML) and PHAT-rho gamma functions. We named our proposed function as Modified Maximum Likelihood with Coherence (MMLC). This function has merits of both ML and PHAT-rho gamma functions and can work properly in both noisy and reverberant environments. We evaluate our proposed weighting function using real and synthesized datasets. Simulation results show that our proposed filter has better performance in terms of TDOA estimation error and anomalous estimations. (c) 2017 Sharif University of Technology. All rights reserved. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12 2017-12-01T00:00:00Z 2018-12-07T14:58:02Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.1/11825 |
url |
http://hdl.handle.net/10400.1/11825 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1026-3098 10.24200/sci.2017.4355 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science Bv |
publisher.none.fl_str_mv |
Elsevier Science Bv |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133267098599424 |