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dc.contributor.authorWand, Michael*
dc.date.accessioned2021-02-11T07:52:05Z
dc.date.available2021-02-11T07:52:05Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35196*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/40381
dc.description.abstractSpeech 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.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherSpracherkennung*
dc.subject.otherSpeech Recognition*
dc.subject.otherBiosignals*
dc.subject.otherSilent Speech Interfaces*
dc.subject.otherElectromyography*
dc.subject.otherElektromyographie*
dc.subject.otherBiosignale*
dc.titleAdvancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000040667*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731502111*
oapen.pagesXVIII, 226 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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