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...
- 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)
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oai:repository.urosario.edu.co:10336/28529 |
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Repositorio EdocUR - U. Rosario |
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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 |
_version_ |
1818106608000958464 |