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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Year of Publication:2014
Language:English
Physical Description:1 electronic resource (XVIII, 226 p. p.)
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100 1 |a Wand, Michael  |4 auth 
245 1 0 |a Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling 
246 |a Advancing Electromyographic Continuous Speech Recognition 
260 |b KIT Scientific Publishing  |c 2014 
300 |a 1 electronic resource (XVIII, 226 p. p.) 
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520 |a 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. 
546 |a English 
653 |a Spracherkennung 
653 |a Speech Recognition 
653 |a Biosignals 
653 |a Silent Speech Interfaces 
653 |a Electromyography 
653 |a Elektromyographie 
653 |a Biosignale 
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