Analysis of phone confusion in EMG-based speech recognition

In this paper we present a study on phone confusabilities based on phone recognition experiments from facial surface electromyographic (EMG) signals. In our study EMG captures the electrical potentials of the human articulatory muscles. This technology can be used to create Silent Speech Interfaces, where a user can communicate naturally without uttering any sound. This paper investigates to which extent different phone properties can be recognized from an EMG signal, shows which weaknesses have yet to be overcome, and compares the results to acoustic-based recognition of phones.