AbstractsBiology & Animal Science

Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling

by Michael Wand




Institution: Universität Karlsruhe
Department:
Year: 2014
Keywords: Electromyography, EMG-based Speech Recognition, Silent Speech interfaces
Record ID: 1098914
Full text PDF: http://digbib.ubka.uni-karlsruhe.de/volltexte/documents/3087444


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 thesis is substantially improved in terms of accuracy, flexibility, and robustness.