Knowledge Distilled Ensemble Model for sEMG-based Silent Speech Interface

Abstract--Voice disorders affect millions of people worldwide. Our findings also shed light on an endto-end system for portable, practical equipment. Most recently, deep learningbased methods have thrived and significantly improved over I. AlterEgo, utilising CNN, proposed a product that did not require users explicitly mouth their Normal communication is not always possible. According speech with pronounced, apparent facial movements [10]. Diseases that lead to method to classify the International Radiotelephony language impairments include brain injuries (e.g., aphasia, Spelling Alphabet with a commercially off-the-shelf (COTS) apraxia, and dysarthria) and voice disorders, where there are device.