EMG-to-speech: Direct generation of speech from facial electromyographic signals
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 …
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …
Silent speech decoding using spectrogram features based on neuromuscular activities
Y Wang, M Zhang, RM Wu, H Gao, M Yang, Z Luo, G Li - Brain sciences, 2020 - mdpi.com
Silent speech decoding is a novel application of the Brain–Computer Interface (BCI) based
on articulatory neuromuscular activities, reducing difficulties in data acquirement and …
on articulatory neuromuscular activities, reducing difficulties in data acquirement and …
Inductive conformal prediction for silent speech recognition
M Zhang, Y Wang, W Zhang, M Yang… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Silent speech recognition based on surface electromyography has been studied
for years. Though some progress in feature selection and classification has been achieved …
for years. Though some progress in feature selection and classification has been achieved …
Automatic speech recognition in different languages using high-density surface electromyography sensors
M Zhu, Z Huang, X Wang, X Wang, C Wang… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Automatic speech recognition (ASR) based on surface electromyography (sEMG) sensors is
an important technology converting electrical signals into computer-readable textual …
an important technology converting electrical signals into computer-readable textual …
Comparison of feature evaluation criteria for speech recognition based on electromyography
N Srisuwan, P Phukpattaranont, C Limsakul - Medical & biological …, 2018 - Springer
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 …
classifiers for isolated Thai word classification based on electromyography signals (EMG) to …
[PDF][PDF] Towards a practical silent speech recognition system
Our recent efforts towards developing a practical surface electromyography (sEMG) based
silent speech recognition interface have resulted in significant advances in the hardware …
silent speech recognition interface have resulted in significant advances in the hardware …
Feature selection of mime speech recognition using surface electromyography data
M Zhang, W Zhang, B Zhang… - 2019 Chinese …, 2019 - ieeexplore.ieee.org
Surface electromyography (sEMG) is a potential technique and resolution to information
transmission and communication problems in noise surroundings as well as military …
transmission and communication problems in noise surroundings as well as military …
Subvocal speech recognition via close-talk microphone and surface electromyogram using deep learning
MS Elmahdy, AA Morsy - 2017 Federated Conference on …, 2017 - ieeexplore.ieee.org
Speech communication is very essential for human-human communication and human
machine interaction. Current Automatic Speech Recognition (ASR) may not be suitable for …
machine interaction. Current Automatic Speech Recognition (ASR) may not be suitable for …
Comparison of classifiers for EMG based speech recognition
N Srisuwan, P Prukpattaranont… - Journal of physics …, 2020 - iopscience.iop.org
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 …
recognition based on EMG signals to find an optimal classifier. An experiment was divided …
Spatial artifact detection for multi-channel EMG-based speech recognition
We introduce a spatial artifact detection method for a surface electromyography (EMG)
based speech recognition system. The EMG signals are recorded using grid-shaped …
based speech recognition system. The EMG signals are recorded using grid-shaped …