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...

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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
Acceso en línea:
https://www.ksp.kit.edu/9783731502111
http://hdl.handle.net/20.500.12010/16794
Palabra clave:
Reconocimiento de voz
Músculos faciales
Voz
Comunicación humana
Rights
License
Abierto (Texto Completo)
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oai_identifier_str 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
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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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repository.name.fl_str_mv Repositorio Institucional - Universidad Jorge Tadeo Lozano
repository.mail.fl_str_mv expeditio@utadeo.edu.co
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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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