Detecting the motion patterns of workers is of significance in differentiating the human's
working capabilities among several personnel's. Similarly, encouraging the key role in …

Silent speech interfaces have been pursued to restore spoken communication for
individuals with voice disorders and to facilitate intuitive communications when acoustic …

Lip‐reading provides an effective speech communication interface for people with voice
disorders and for intuitive human–machine interactions. Existing systems are generally …

Recent advances in speech recognition have achieved remarkable performance
comparable with human transcribers' abilities. But this significant performance is not the …

Silent speech recognition (SSR) predicts textual information from silent articulation, which is
an algorithm design in silent speech interfaces (SSIs). SSIs have the potential of recovering …

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 …

Novel voice enhancements for larynx amputees utilize a variety of wearable interfaces
and/or artificial intelligence. However, the problem formulation remains posed as “voice …

Stuttering, affecting approximately 1% of the global population, is a complex speech
disorder significantly impacting individuals' quality of life. Prior studies using …

Subvocal voice recognition is important in rehabilitation because it allows people with
speech issues to communicate in an alternate manner. Capturing and interpreting subtle …

This study developed a real-time ambulatory phonation monitoring (APM) system that
integrates wireless headphones, mobile apps, and deep neural network (DNN) …