Künstliche Intelligenz (KI) gewinnt auch im Gesundheitswesen immer mehr an Bedeutung.
Diese Entwicklung löst ernst zu nehmende Sorgen aus, die sich anhand von sechs großen …

Abstract With Speech-to-Electromyography Generative Adversarial Network (STE-GAN), we
propose a model which can synthesize Electromyography (EMG) signals from acoustic …

Silent speech interfaces (SSIs) enable speech recognition and synthesis in the absence of
an acoustic signal. Yet, the archetypal SSI fails to convey the expressive attributes of …

Electromyography (EMG) to speech conversions is a standard problem to facilitate speech
impaired individuals for communication via EMG (EMG to Speech). However, dataset …

Abstract Silent Computational Paralinguistics (SCP)–the assessment of speaker states and
traits from non-audibly spoken communication–has rarely been targeted in the rich body of …

Silent speech interfaces aim at generating speech from biosignals obtained from the human
speech production system. In order to provide resources for the development of these …

Electromyography (EMG) signals have been extensively used to capture facial muscle
movements while speaking since they are one of the most closely related bio-signals …

Obstructive sleep apnea (OSA) affects almost one billion people worldwide and limits
peoples' quality of life substantially. Furthermore, it is responsible for significant morbidity …

COVID-19 has resulted in the rapid popularization of video conferencing. A growing number
of users have become obligated to find suitable places for video conferencing, but …