Modeling Coarticulation in EMG-based Continuous Speech Recognition

Tanja Schultz , Michael Wand

This paper discusses the use of surface electromyography for automatic speech recognition. Electromyographic signals captured at the facial muscles record the activity of the human articulatory apparatus and thus allow to trace back a speech signal even if it is spoken silently. Since speech is captured before it gets airborne, the resulting signal is not masked by ambient noise. The resulting Silent Speech Interface has the potential to overcome major limitations of conventional speech-driven interfaces: it is not prone to any environmental noise, allows to silently transmit confidential information, and does not disturb bystanders.

Mots clés: EMG-based Speech Recognition; Silent Speech Interfaces; Phonetic Features

Tanja Schultz, Michael Wand. Modeling Coarticulation in EMG-based Continuous Speech Recognition. Speech Communication, 2010, 52 (4), pp.341. ⟨10.1016/j.specom.2009.12.002⟩. ⟨hal-00616230⟩