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
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/152593
Ver los metadatos del registro completo
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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 |
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2010 |
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