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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1. Verfasser: Wand, Michael
Format: Online
Sprache:Englisch
Veröffentlicht: KIT Scientific Publishing 2021
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author Wand, Michael
author_browse Wand, Michael
author_facet Wand, Michael
author_sort Wand, Michael
collection Directory of Open Access Books
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.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
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publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-403812023-12-20T18:40:46Z Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling Wand, Michael QA75.5-76.95 Spracherkennung Speech Recognition Biosignals Silent Speech Interfaces Electromyography Elektromyographie Biosignale bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-11T07:52:05Z 2021-02-11T07:52:05Z 2019-07-30 20:02:00 2014 book 35196 9783731502111 https://directory.doabooks.org/handle/20.500.12854/40381 eng image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731502111 KIT Scientific Publishing 10.5445/KSP/1000040667 10.5445/KSP/1000040667 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731502111 XVIII, 226 p. open access
spellingShingle QA75.5-76.95
Spracherkennung
Speech Recognition
Biosignals
Silent Speech Interfaces
Electromyography
Elektromyographie
Biosignale
bic Book Industry Communication::U Computing & information technology::UY Computer science
Wand, Michael
Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
title 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_short Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
title_sort advancing electromyographic continuous speech recognition signal preprocessing and modeling
topic QA75.5-76.95
Spracherkennung
Speech Recognition
Biosignals
Silent Speech Interfaces
Electromyography
Elektromyographie
Biosignale
bic Book Industry Communication::U Computing & information technology::UY Computer science
topic_facet QA75.5-76.95
Spracherkennung
Speech Recognition
Biosignals
Silent Speech Interfaces
Electromyography
Elektromyographie
Biosignale
bic Book Industry Communication::U Computing & information technology::UY Computer science
url 35196
work_keys_str_mv AT wandmichael advancingelectromyographiccontinuousspeechrecognitionsignalpreprocessingandmodeling