The MUTE silent speech recognition system

sEMG based silent speech recognition has become a desirable communication modality because it has the potential to provide natural, covert, hands-free communication in acoustically challenging environments. To enable this capability, we have developed a portable, self-contained, Android based Mouthed-speech Understanding and Transcription Engine (MUTE) system. To demonstrate the MUTE system’s ability to recognize a continuous vocabulary of 210 words we propose to conduct map task based demonstration, in which a MUTE user guides a “listener” around a schematized map. The listener draws out a map based on the received instructions; a comparison of the original and drawn map then illustrates the MUTE system’s recognition performance.