Silent speech interfaces are systems that enable speech communication even when an
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …

The main objective of this study is to precisely predict muscle forces from surface
electromyography (sEMG) for hand gesture recognition. A robust variant of genetic …

Objective. Silent speech recognition (SSR) based on surface electromyography (sEMG) is
an attractive non-acoustic modality of human-machine interfaces that convert the …

The objective of this study is to develop a speech recognition system for classifying nine
Thai syllables, which is used for the rehabilitation of dysarthric patients, based on five …

In this paper, we present a performance comparison of 14 feature evaluation criteria and 4
classifiers for isolated Thai word classification based on electromyography signals (EMG) to …

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

Surface electromyography (sEMG) has been proven competent and reliable to recognize
speech musculature movement patterns. In other words, we can understand what a person …

Surface electromyography (sEMG) is a potential technique and resolution to information
transmission and communication problems in noise surroundings as well as military …

Speech recognition based on surface electromyography (sEMG) signals is an important
research direction with potential applications in life, work and clinical. The number and …

In this paper, we propose a performance comparison of eight classifiers for speech
recognition based on EMG signals to find an optimal classifier. An experiment was divided …