On speech enhancement algorithms based on mmse estimation
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/229428 |
Resumo: | This paper addresses the problem of single microphone frequency domain MMSE noise reduction technique for speech enhancement in noisy environments. We first analysed asymptotic performance of the MMSE estimate and compared these results with the Wiener filter. Practical implementation of the MMSE filter is then presented. Comparisons between optimal and practical behaviour of the MMSE filter demonstrate that an effective improvement in the noise reduction process can be gained if greater attention is given to the these estimators. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
On speech enhancement algorithms based on mmse estimationThis paper addresses the problem of single microphone frequency domain MMSE noise reduction technique for speech enhancement in noisy environments. We first analysed asymptotic performance of the MMSE estimate and compared these results with the Wiener filter. Practical implementation of the MMSE filter is then presented. Comparisons between optimal and practical behaviour of the MMSE filter demonstrate that an effective improvement in the noise reduction process can be gained if greater attention is given to the these estimators.FRANCE TELECOM - CNET LAA/TSS/CMC Technopole ANTICIPA, 2 Avenue Pierre MarzinUniversidade Estadual Paulista DEE/FEIS/UNESP, Av. Brasil Centro 56Universidade Estadual de Campinas (DECOM/FEE/UNICAMP)Universidade Estadual Paulista DEE/FEIS/UNESP, Av. Brasil Centro 56FRANCE TELECOM - CNET LAA/TSS/CMC Technopole ANTICIPAUniversidade Estadual Paulista (UNESP)Universidade Estadual de Campinas (UNICAMP)SCALART, PascalFILHO, Jozue VIEIRA [UNESP]CHIQUITO, José GERALDO2022-04-29T08:32:32Z2022-04-29T08:32:32Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectEuropean Signal Processing Conference.2219-5491http://hdl.handle.net/11449/2294282-s2.0-85113861595Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEuropean Signal Processing Conferenceinfo:eu-repo/semantics/openAccess2024-07-04T19:11:12Zoai:repositorio.unesp.br:11449/229428Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:54:50.682498Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
On speech enhancement algorithms based on mmse estimation |
title |
On speech enhancement algorithms based on mmse estimation |
spellingShingle |
On speech enhancement algorithms based on mmse estimation SCALART, Pascal |
title_short |
On speech enhancement algorithms based on mmse estimation |
title_full |
On speech enhancement algorithms based on mmse estimation |
title_fullStr |
On speech enhancement algorithms based on mmse estimation |
title_full_unstemmed |
On speech enhancement algorithms based on mmse estimation |
title_sort |
On speech enhancement algorithms based on mmse estimation |
author |
SCALART, Pascal |
author_facet |
SCALART, Pascal FILHO, Jozue VIEIRA [UNESP] CHIQUITO, José GERALDO |
author_role |
author |
author2 |
FILHO, Jozue VIEIRA [UNESP] CHIQUITO, José GERALDO |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
FRANCE TELECOM - CNET LAA/TSS/CMC Technopole ANTICIPA Universidade Estadual Paulista (UNESP) Universidade Estadual de Campinas (UNICAMP) |
dc.contributor.author.fl_str_mv |
SCALART, Pascal FILHO, Jozue VIEIRA [UNESP] CHIQUITO, José GERALDO |
description |
This paper addresses the problem of single microphone frequency domain MMSE noise reduction technique for speech enhancement in noisy environments. We first analysed asymptotic performance of the MMSE estimate and compared these results with the Wiener filter. Practical implementation of the MMSE filter is then presented. Comparisons between optimal and practical behaviour of the MMSE filter demonstrate that an effective improvement in the noise reduction process can be gained if greater attention is given to the these estimators. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2022-04-29T08:32:32Z 2022-04-29T08:32:32Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
European Signal Processing Conference. 2219-5491 http://hdl.handle.net/11449/229428 2-s2.0-85113861595 |
identifier_str_mv |
European Signal Processing Conference. 2219-5491 2-s2.0-85113861595 |
url |
http://hdl.handle.net/11449/229428 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
European Signal Processing Conference |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128290221719552 |