Robust Speech Features based on synchrony spectrum determination using PLLs

Autores
Pelle, Patricia Alejandra; Franco, Horacio; Estienne, Claudio
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work we propose to include synchrony effects, known to exist in the auditory system, to represent speech signal information in a robust way. The system decomposes the signal in a number of simpler signals, and utilizes a bank of Phase Locked Loops (PLLs) to obtain information of the frequencies present at each time. This information is interpolated in order to obtain a spectral-like representation based in synchrony effects, measured by the PLLs. Noisy speech recognition experiments are performed using this synchrony-based spectrum, which is transformed into a small set of coefficients by using a similar transformation as the one utilized for the Mel cepstrum features. We show their recognition performance compared to Mel cepstrum features obtained from the standard power spectrum. Some recognition improvements are obtained for the case of vocalic sounds for this approach, especially in the case of severe noise conditions.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
speech features
robustness
PLL
noise
auditory system
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/152593

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spelling Robust Speech Features based on synchrony spectrum determination using PLLsPelle, Patricia AlejandraFranco, HoracioEstienne, ClaudioCiencias Informáticasspeech featuresrobustnessPLLnoiseauditory systemIn this work we propose to include synchrony effects, known to exist in the auditory system, to represent speech signal information in a robust way. The system decomposes the signal in a number of simpler signals, and utilizes a bank of Phase Locked Loops (PLLs) to obtain information of the frequencies present at each time. This information is interpolated in order to obtain a spectral-like representation based in synchrony effects, measured by the PLLs. Noisy speech recognition experiments are performed using this synchrony-based spectrum, which is transformed into a small set of coefficients by using a similar transformation as the one utilized for the Mel cepstrum features. We show their recognition performance compared to Mel cepstrum features obtained from the standard power spectrum. Some recognition improvements are obtained for the case of vocalic sounds for this approach, especially in the case of severe noise conditions.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf82-91http://sedici.unlp.edu.ar/handle/10915/152593enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-08.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:20:17Zoai:sedici.unlp.edu.ar:10915/152593Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:20:17.35SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Robust Speech Features based on synchrony spectrum determination using PLLs
title Robust Speech Features based on synchrony spectrum determination using PLLs
spellingShingle Robust Speech Features based on synchrony spectrum determination using PLLs
Pelle, Patricia Alejandra
Ciencias Informáticas
speech features
robustness
PLL
noise
auditory system
title_short Robust Speech Features based on synchrony spectrum determination using PLLs
title_full Robust Speech Features based on synchrony spectrum determination using PLLs
title_fullStr Robust Speech Features based on synchrony spectrum determination using PLLs
title_full_unstemmed Robust Speech Features based on synchrony spectrum determination using PLLs
title_sort Robust Speech Features based on synchrony spectrum determination using PLLs
dc.creator.none.fl_str_mv Pelle, Patricia Alejandra
Franco, Horacio
Estienne, Claudio
author Pelle, Patricia Alejandra
author_facet Pelle, Patricia Alejandra
Franco, Horacio
Estienne, Claudio
author_role author
author2 Franco, Horacio
Estienne, Claudio
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
speech features
robustness
PLL
noise
auditory system
topic Ciencias Informáticas
speech features
robustness
PLL
noise
auditory system
dc.description.none.fl_txt_mv In this work we propose to include synchrony effects, known to exist in the auditory system, to represent speech signal information in a robust way. The system decomposes the signal in a number of simpler signals, and utilizes a bank of Phase Locked Loops (PLLs) to obtain information of the frequencies present at each time. This information is interpolated in order to obtain a spectral-like representation based in synchrony effects, measured by the PLLs. Noisy speech recognition experiments are performed using this synchrony-based spectrum, which is transformed into a small set of coefficients by using a similar transformation as the one utilized for the Mel cepstrum features. We show their recognition performance compared to Mel cepstrum features obtained from the standard power spectrum. Some recognition improvements are obtained for the case of vocalic sounds for this approach, especially in the case of severe noise conditions.
Sociedad Argentina de Informática e Investigación Operativa
description In this work we propose to include synchrony effects, known to exist in the auditory system, to represent speech signal information in a robust way. The system decomposes the signal in a number of simpler signals, and utilizes a bank of Phase Locked Loops (PLLs) to obtain information of the frequencies present at each time. This information is interpolated in order to obtain a spectral-like representation based in synchrony effects, measured by the PLLs. Noisy speech recognition experiments are performed using this synchrony-based spectrum, which is transformed into a small set of coefficients by using a similar transformation as the one utilized for the Mel cepstrum features. We show their recognition performance compared to Mel cepstrum features obtained from the standard power spectrum. Some recognition improvements are obtained for the case of vocalic sounds for this approach, especially in the case of severe noise conditions.
publishDate 2010
dc.date.none.fl_str_mv 2010
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/152593
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dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1850-2784
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
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