Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, al...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2021
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- eng
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16794
- Palabra clave:
- Reconocimiento de voz
Músculos faciales
Voz
Comunicación humana
- Rights
- License
- Abierto (Texto Completo)
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oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16794 |
network_acronym_str |
UTADEO2 |
network_name_str |
Expeditio: repositorio UTadeo |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
title |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
spellingShingle |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling Reconocimiento de voz Músculos faciales Voz Comunicación humana |
title_short |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
title_full |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
title_fullStr |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
title_full_unstemmed |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
title_sort |
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling |
dc.subject.spa.fl_str_mv |
Reconocimiento de voz |
topic |
Reconocimiento de voz Músculos faciales Voz Comunicación humana |
dc.subject.lemb.spa.fl_str_mv |
Músculos faciales Voz Comunicación humana |
description |
Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-01-20T20:24:09Z |
dc.date.available.none.fl_str_mv |
2021-01-20T20:24:09Z |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2f33 |
format |
http://purl.org/coar/resource_type/c_2f33 |
dc.identifier.isbn.none.fl_str_mv |
978-3-731-50211-1 |
dc.identifier.other.none.fl_str_mv |
https://www.ksp.kit.edu/9783731502111 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/16794 |
dc.identifier.doi.none.fl_str_mv |
10.5445/KSP/1000040667 |
identifier_str_mv |
978-3-731-50211-1 10.5445/KSP/1000040667 |
url |
https://www.ksp.kit.edu/9783731502111 http://hdl.handle.net/20.500.12010/16794 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Abierto (Texto Completo) |
dc.rights.creativecommons.none.fl_str_mv |
https://creativecommons.org/licenses/by-sa/4.0/legalcode |
rights_invalid_str_mv |
Abierto (Texto Completo) https://creativecommons.org/licenses/by-sa/4.0/legalcode http://purl.org/coar/access_right/c_abf2 |
dc.format.extent.spa.fl_str_mv |
256 páginas |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
KIT Scientific Publishing |
institution |
Universidad de Bogotá Jorge Tadeo Lozano |
bitstream.url.fl_str_mv |
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16794/2/license.txt https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16794/1/Advancing%20Electromyographic%20Continuous%20Speech%20Recognition_Signal%20Preprocessing%20and%20Modeling_67.pdf https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16794/3/Advancing%20Electromyographic%20Continuous%20Speech%20Recognition_Signal%20Preprocessing%20and%20Modeling_67.pdf.jpg |
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abceeb1c943c50d3343516f9dbfc110f 85834fbda8e1a5b4ebb38c19bde6b77f 7e60ed929c66d89170d00a6b3ac8ad8a |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Universidad Jorge Tadeo Lozano |
repository.mail.fl_str_mv |
expeditio@utadeo.edu.co |
_version_ |
1814213838127497216 |
spelling |
2021-01-20T20:24:09Z2021-01-20T20:24:09Z978-3-731-50211-1https://www.ksp.kit.edu/9783731502111http://hdl.handle.net/20.500.12010/1679410.5445/KSP/1000040667256 páginasapplication/pdfengKIT Scientific PublishingReconocimiento de vozMúsculos facialesVozComunicación humanaAdvancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and ModelingAbierto (Texto Completo)https://creativecommons.org/licenses/by-sa/4.0/legalcodehttp://purl.org/coar/access_right/c_abf2Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.http://purl.org/coar/resource_type/c_2f33Wand, MichaelLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16794/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessORIGINALAdvancing Electromyographic Continuous Speech Recognition_Signal Preprocessing and Modeling_67.pdfAdvancing Electromyographic Continuous Speech Recognition_Signal Preprocessing and Modeling_67.pdfVer documentoapplication/pdf22529923https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16794/1/Advancing%20Electromyographic%20Continuous%20Speech%20Recognition_Signal%20Preprocessing%20and%20Modeling_67.pdf85834fbda8e1a5b4ebb38c19bde6b77fMD51open accessTHUMBNAILAdvancing Electromyographic Continuous Speech Recognition_Signal Preprocessing and Modeling_67.pdf.jpgAdvancing Electromyographic Continuous Speech Recognition_Signal Preprocessing and Modeling_67.pdf.jpgIM Thumbnailimage/jpeg40289https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/16794/3/Advancing%20Electromyographic%20Continuous%20Speech%20Recognition_Signal%20Preprocessing%20and%20Modeling_67.pdf.jpg7e60ed929c66d89170d00a6b3ac8ad8aMD53open access20.500.12010/16794oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/167942021-01-31 19:05:38.632open accessRepositorio Institucional - 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