01758nam 2200385z- 450 991034705240332120231214133245.01000040667(CKB)4920000000101992(oapen)https://directory.doabooks.org/handle/20.500.12854/40381(EXLCZ)99492000000010199220202102d2014 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and ModelingKIT Scientific Publishing20141 electronic resource (XVIII, 226 p. p.)3-7315-0211-9 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.Advancing Electromyographic Continuous Speech RecognitionSpracherkennungSpeech RecognitionBiosignalsSilent Speech InterfacesElectromyographyElektromyographieBiosignaleWand Michaelauth1323454BOOK9910347052403321Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling3035573UNINA