Electromyography (EMG) is a technique for recording biomedical electrical signals obtained
from the neuromuscular activities. These signals are used to monitor medical abnormalities …

Lip language is an effective method of voice-off communication in daily life for people with
vocal cord lesions and laryngeal and lingual injuries without occupying the hands …

Each year thousands of individuals require surgical removal of the larynx (voice box) due to
trauma or disease, and thereby require an alternative voice source or assistive device to …

An electromyographic (EMG) silent speech recognizer is a system that recognizes speech
by capturing the electric potentials of the human articulatory muscles, thus enabling the user …

Machine learning techniques have achieved great success in electromyography (EMG)
decoding, but EMG-based cross-subject silent speech recognition (SSR) received less …

Silent speech recognition breaks the limitations of automatic speech recognition when
acoustic signals cannot be produced or captured clearly, but still has a long way to go before …

Speech recognition based on articulatory movements instead of the acoustic signal is of
growing interest in the community. In this work, we present the results of a study using a …

We report on a Deep Neural Network frontend for a continuous speech recognizer based on
Surface Electromyography (EMG). Speech data is obtained by facial electrodes capturing …

Automatic speech recognition (ASR) based on surface electromyography (sEMG) sensors is
an important technology converting electrical signals into computer-readable textual …

Objective Establish objective and subjective speech rate and muscle function differences
between athletes with and without sports related concussion (SRC) histories and provide …