E-inclusion technologies for the speech handicapped

This paper addresses the problem that disabled people face when accessing the new systems and technologies that are available nowadays. The use of speech technologies, specially helpful for motor handicapped people, becomes unapproachable when these people also suffer speech impairments, making the...

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Autores:
Tipo de recurso:
Fecha de publicación:
2008
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/28529
Acceso en línea:
https://doi.org/10.1109/ICASSP.2008.4518658
https://repository.urosario.edu.co/handle/10336/28529
Palabra clave:
Medical treatment
Natural languages
Automatic speech recognition
Collaborative work
Speech analysis
Control systems
Application software
Communications technology
Feedback
Handicapped aids
Rights
License
Restringido (Acceso a grupos específicos)
id EDOCUR2_85de029fcdf31f253f8f00eecbbd4812
oai_identifier_str oai:repository.urosario.edu.co:10336/28529
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 16bd070b-6305-43f8-9e39-55cff53ce0b28a33594b-a7e0-416c-b950-82fb57cfb1160bb16363-d9bc-486b-a1a7-39ef38ebe340798055896002020-08-28T15:49:17Z2020-08-28T15:49:17Z2008-05-12This paper addresses the problem that disabled people face when accessing the new systems and technologies that are available nowadays. The use of speech technologies, specially helpful for motor handicapped people, becomes unapproachable when these people also suffer speech impairments, making the gap in the society wider for them. As a way to include speech impaired people in the technological society of today, two lines of work have been carried out. On one hand, a computer-aided speech therapy software has been developed for the speech training of children with different disabilities. This tool, available for free distribution, makes use of different state-of-the-art speech technologies to train different levels of the language. As a result of this work, the software is being used currently in several centers for special education with a very encouraging feedback about the capabilities of the system. On the other hand, research on the use of automatic speech recognition (ASR) systems for the speech impaired has been carried out. This work has focused on current techniques of speaker adaptation to know how these techniques, fruitfully used in other tasks, can deal with this specific kind of speech. The use of Maximum A Posterior (MAP) obtains an improvement of 60.61% compared to the results of a baseline speaker independent model.application/pdfhttps://doi.org/10.1109/ICASSP.2008.4518658ISBN: 978-1-4244-1483-3https://repository.urosario.edu.co/handle/10336/28529engIEEE451245092008 IEEE International Conference on Acoustics, Speech and Signal ProcessingIEEE International Conference on Acoustics, Speech and Signal Processing, ISBN: 978-1-4244-1483-3 (2008); pp. 4509-4512https://ieeexplore.ieee.org/document/4518658Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ec2008 IEEE International Conference on Acoustics, Speech and Signal Processinginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURMedical treatmentNatural languagesAutomatic speech recognitionCollaborative workSpeech analysisControl systemsApplication softwareCommunications technologyFeedbackHandicapped aidsE-inclusion technologies for the speech handicappedTecnologías de inclusión electrónica para discapacitados del hablabookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248Vaquero, CarlosSaz, OscarLleida, EduardoRodríguez-Dueñas, William R.10336/28529oai:repository.urosario.edu.co:10336/285292021-10-15 05:45:30.076https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv E-inclusion technologies for the speech handicapped
dc.title.TranslatedTitle.spa.fl_str_mv Tecnologías de inclusión electrónica para discapacitados del habla
title E-inclusion technologies for the speech handicapped
spellingShingle E-inclusion technologies for the speech handicapped
Medical treatment
Natural languages
Automatic speech recognition
Collaborative work
Speech analysis
Control systems
Application software
Communications technology
Feedback
Handicapped aids
title_short E-inclusion technologies for the speech handicapped
title_full E-inclusion technologies for the speech handicapped
title_fullStr E-inclusion technologies for the speech handicapped
title_full_unstemmed E-inclusion technologies for the speech handicapped
title_sort E-inclusion technologies for the speech handicapped
dc.subject.keyword.spa.fl_str_mv Medical treatment
Natural languages
Automatic speech recognition
Collaborative work
Speech analysis
Control systems
Application software
Communications technology
Feedback
Handicapped aids
topic Medical treatment
Natural languages
Automatic speech recognition
Collaborative work
Speech analysis
Control systems
Application software
Communications technology
Feedback
Handicapped aids
description This paper addresses the problem that disabled people face when accessing the new systems and technologies that are available nowadays. The use of speech technologies, specially helpful for motor handicapped people, becomes unapproachable when these people also suffer speech impairments, making the gap in the society wider for them. As a way to include speech impaired people in the technological society of today, two lines of work have been carried out. On one hand, a computer-aided speech therapy software has been developed for the speech training of children with different disabilities. This tool, available for free distribution, makes use of different state-of-the-art speech technologies to train different levels of the language. As a result of this work, the software is being used currently in several centers for special education with a very encouraging feedback about the capabilities of the system. On the other hand, research on the use of automatic speech recognition (ASR) systems for the speech impaired has been carried out. This work has focused on current techniques of speaker adaptation to know how these techniques, fruitfully used in other tasks, can deal with this specific kind of speech. The use of Maximum A Posterior (MAP) obtains an improvement of 60.61% compared to the results of a baseline speaker independent model.
publishDate 2008
dc.date.created.spa.fl_str_mv 2008-05-12
dc.date.accessioned.none.fl_str_mv 2020-08-28T15:49:17Z
dc.date.available.none.fl_str_mv 2020-08-28T15:49:17Z
dc.type.eng.fl_str_mv bookPart
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_3248
dc.type.spa.spa.fl_str_mv Parte de libro
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1109/ICASSP.2008.4518658
dc.identifier.issn.none.fl_str_mv ISBN: 978-1-4244-1483-3
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/28529
url https://doi.org/10.1109/ICASSP.2008.4518658
https://repository.urosario.edu.co/handle/10336/28529
identifier_str_mv ISBN: 978-1-4244-1483-3
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 4512
dc.relation.citationStartPage.none.fl_str_mv 4509
dc.relation.citationTitle.none.fl_str_mv 2008 IEEE International Conference on Acoustics, Speech and Signal Processing
dc.relation.ispartof.spa.fl_str_mv IEEE International Conference on Acoustics, Speech and Signal Processing, ISBN: 978-1-4244-1483-3 (2008); pp. 4509-4512
dc.relation.uri.spa.fl_str_mv https://ieeexplore.ieee.org/document/4518658
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv IEEE
dc.source.spa.fl_str_mv 2008 IEEE International Conference on Acoustics, Speech and Signal Processing
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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