Mostrar el registro sencillo del ítem
dc.contributor.author
Di Persia, Leandro Ezequiel
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Yanagida, Masuzo
dc.contributor.author
Rufiner, Hugo Leonardo
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.contributor.author
Milone, Diego Humberto
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.date.available
2020-09-09T12:16:03Z
dc.date.issued
2007-12
dc.identifier.citation
Di Persia, Leandro Ezequiel; Yanagida, Masuzo; Rufiner, Hugo Leonardo; Milone, Diego Humberto; Objective quality evaluation in blind source separation for speech recognition in a real room; Elsevier Science; Signal Processing; 87; 8; 12-2007; 1951-1965
dc.identifier.issn
0165-1684
dc.identifier.uri
http://hdl.handle.net/11336/113586
dc.description.abstract
The determination of quality of the signals obtained by blind source separation is a very important subject fordevelopment and evaluation of such algorithms. When this approach is used as a pre-processing stage for automatic speechrecognition, the quality measure of separation applied for assessment should be related to the recognition rates of thesystem. Many measures have been used for quality evaluation, but in general these have been applied without priorresearch of their capabilities as quality measures in the context of blind source separation, and often they requireexperimentation in unrealistic conditions. Moreover, these measures just try to evaluate the amount of separation, and thisvalue could not be directly related to recognition rates. Presented in this work is a study of several objective qualitymeasures evaluated as predictors of recognition rate of a continuous speech recognizer. Correlation between qualitymeasures and recognition rates is analyzed for a separation algorithm applied to signals recorded in a real room withdifferent reverberation times and different kinds and levels of noise. A very good correlation between weighted spectralslope measure and the recognition rate has been verified from the results of this analysis. Furthermore, a good performanceof total relative distortion and cepstral measures for rooms with relatively long reverberation time has been observed
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Quality Measures
dc.subject
Blind Source Separation
dc.subject
Robust Speech Recognition
dc.subject
Reverberation
dc.subject.classification
Control Automático y Robótica
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.title
Objective quality evaluation in blind source separation for speech recognition in a real room
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-09-03T19:23:58Z
dc.journal.volume
87
dc.journal.number
8
dc.journal.pagination
1951-1965
dc.journal.pais
Países Bajos
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Di Persia, Leandro Ezequiel. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Yanagida, Masuzo. Doshisha University; Japón
dc.description.fil
Fil: Rufiner, Hugo Leonardo. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Milone, Diego Humberto. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Signal Processing
![Se ha confirmado la validez de este valor de autoridad por un usuario](/themes/CONICETDigital/images/authority_control/invisible.gif)
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.sigpro.2007.02.004
Archivos asociados