LEADER 01758nam  2200385z- 450 
001 9910347052403321
005 20231214133245.0
010   $a1000040667
035   $a(CKB)4920000000101992
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40381
035   $a(EXLCZ)994920000000101992
100   $a20202102d2014      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling
210   $cKIT Scientific Publishing$d2014
215   $a1 electronic resource (XVIII, 226 p. p.)
311   $a3-7315-0211-9 
330   $aSpeech 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.
517   $aAdvancing Electromyographic Continuous Speech Recognition
610   $aSpracherkennung
610   $aSpeech Recognition
610   $aBiosignals
610   $aSilent Speech Interfaces
610   $aElectromyography
610   $aElektromyographie
610   $aBiosignale
700   $aWand$b Michael$4auth$01323454
906   $aBOOK
912   $a9910347052403321
996   $aAdvancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling$93035573
997   $aUNINA