Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling

dc.creator	Wand, Michael
dc.date.accessioned	2021-01-20T20:24:09Z
dc.date.available	2021-01-20T20:24:09Z
dc.description.abstractenglish	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.	spa
dc.format.extent	256 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	10.5445/KSP/1000040667
dc.identifier.isbn	978-3-731-50211-1
dc.identifier.other	https://www.ksp.kit.edu/9783731502111
dc.identifier.uri	https://hdl.handle.net/20.500.12010/16794
dc.language.iso	eng	spa
dc.publisher	KIT Scientific Publishing	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by-sa/4.0/legalcode
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Reconocimiento de voz	spa
dc.subject.lemb	Músculos faciales	spa
dc.subject.lemb	Voz	spa
dc.subject.lemb	Comunicación humana	spa
dc.title	Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa

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Nombre:: Advancing Electromyographic Continuous Speech Recognition_Signal Preprocessing and Modeling_67.pdf
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