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DOI: 10.5445/KSP/1000040667
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Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling

Wand, Michael

Abstract:
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.


Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Hochschulschrift
Jahr 2014
Sprache Englisch
Identifikator ISBN: 978-3-7315-0211-1
URN: urn:nbn:de:0072-406672
KITopen-ID: 1000040667
Verlag KIT Scientific Publishing, Karlsruhe
Umfang XVIII, 226 S.
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Anthropomatik und Robotik (IAR)
Prüfungsdaten 14.01.2014
Schlagworte Elektromyographie, Spracherkennung, Silent Speech Interfaces, Biosignale, Electromyography, Speech Recognition, Silent Speech Interfaces, Biosignals
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