[HTML][HTML] Neural correlates of emotion-attention interactions: From perception, learning, and memory to social cognition, individual differences, and training …
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 …
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 …
swallowing is becoming increasingly popular. An improved understanding of sEMG and …
All-weather, natural silent speech recognition via machine-learning-assisted tattoo-like electronics
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 …
keeps human–machine/human interactions working under various disturbances. This paper …
Silent speech recognition as an alternative communication device for persons with laryngectomy
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 …
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
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 …
Development of sEMG sensors and algorithms for silent speech recognition
Objective. Speech is among the most natural forms of human communication, thereby
offering an attractive modality for human–machine interaction through automatic speech …
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
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 …
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
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 …
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 …
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 …
and much of the fine muscular control needed for healthy singing is executed using well …