This paper is published by ACM and requires payment for access.

"Unvoiced speech recognition using EMG - mime speech recognition"


We propose unvoiced speech recognition, "Mime Speech Recognition". It recognizes speech by observing the muscles associated with speech. It is not based on voice signals but electromyography (EMG). It will realize unvoiced communication, which is a new communication style. Because voice signals are not used, it can be applied in noisy environments; it also supports people without vocal-cords and aphasics. In preliminary experiments, we try to recognize the 5 Japanese vowels. EMG signals from the 3 muscles that contribute greatly to the utterance of Japanese vowels are input to a neural network. The recognition accuracy is over 90% for the three subjects tested.

DOI: 10.1145/765891.765996

Extracted Key Phrases

3 Figures and Tables

Unfortunately, ACM prohibits us from displaying non-influential references for this paper.

To see the full reference list, please visit

Showing 1-10 of 26 extracted citations


Citations per Year

134 Citations

Semantic Scholar estimates that this publication has received between 47 and 306 citations based on the available data.

See our FAQ for additional information.