Speech disfluency detection and classification is an interdisciplinary research domain that underpins advances in speech pathology, signal processing and machine learning. The field focuses on the ...
Silent speech recognition technologies represent an emerging frontier in human–machine interaction, offering the potential to decode speech-related information from non-acoustic signals. By bypassing ...