[HTML][HTML] Neural correlates of emotion-attention interactions: From perception, learning, and memory to social cognition, individual differences, and training …

F Dolcos, Y Katsumi, M Moore, N Berggren… - Neuroscience & …, 2020 - Elsevier
Due to their ability to capture attention, emotional stimuli tend to benefit from enhanced
perceptual processing, which can be helpful when such stimuli are task-relevant but …

Surface electromyography for speech and swallowing systems: measurement, analysis, and interpretation

CE Stepp - 2012 - ASHA
Purpose Applying surface electromyography (sEMG) to the study of voice, speech, and
swallowing is becoming increasingly popular. An improved understanding of sEMG and …

All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics

Y Wang, T Tang, Y Xu, Y Bai, L Yin, G Li… - npj Flexible …, 2021 - nature.com
The internal availability of silent speech serves as a translator for people with aphasia and
keeps human–machine/human interactions working under various disturbances. This paper …

Silent speech recognition as an alternative communication device for persons with laryngectomy

GS Meltzner, JT Heaton, Y Deng… - … ACM transactions on …, 2017 - ieeexplore.ieee.org
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 …

EMG-to-speech: Direct generation of speech from facial electromyographic signals

M Janke, L Diener - IEEE/ACM Transactions on Audio, Speech …, 2017 - ieeexplore.ieee.org
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 …

Development of sEMG sensors and algorithms for silent speech recognition

GS Meltzner, JT Heaton, Y Deng… - Journal of neural …, 2018 - iopscience.iop.org
Objective. Speech is among the most natural forms of human communication, thereby
offering an attractive modality for human–machine interaction through automatic speech …

[HTML][HTML] Bioinspired dual-channel speech recognition using graphene-based electromyographic and mechanical sensors

H Tian, X Li, Y Wei, S Ji, Q Yang, GY Gou… - Cell Reports Physical …, 2022 - cell.com
Automatic speech recognition (ASR) is helpful to improve quality of life. However, the
performance of ASR degrades in the case of noisy environment, limited privacy, and speech …

Decoding silent speech from high-density surface electromyographic data using transformer

R Song, X Zhang, X Chen, X Chen, X Chen… - … Signal Processing and …, 2023 - Elsevier
Recent silent speech recognition (SSR) studies based on surface electromyography (sEMG)
have been conducted by classifying a finite number of words or phrases without sufficient …

Electromyogram‐Based Lip‐Reading via Unobtrusive Dry Electrodes and Machine Learning Methods

P Dong, Y Song, S Yu, Z Zhang, SK Mallipattu… - Small, 2023 - Wiley Online Library
Lip‐reading provides an effective speech communication interface for people with voice
disorders and for intuitive human–machine interactions. Existing systems are generally …

Surface electromyography for sensing performance intention and musical imagery in vocalists

CN Reed, AP McPherson - … of the Fifteenth International Conference on …, 2021 - dl.acm.org
Through experience, the techniques used by professional vocalists become highly ingrained
and much of the fine muscular control needed for healthy singing is executed using well …