Project Grant 2335863

The National Science Foundation (NSF) awarded a $463,227 Project Grant under the Engineering program (CFDA 47.041) to The Research Foundation For The State University Of New York, doing business as Stony Brook University, to develop an efficient, skin-friendly, and unobtrusive silent speech interface system. The project aims to design unobtrusive electromyogram sensors to track speech-relevant muscle activities, and develop novel machine learning algorithms based on deep Gaussian process networks to decode the sensor signals for speech recognition. The goal is to create a customizable and robust platform that captures and interprets speech-relevant muscle activities to enable silent speech recognition, with potential applications in areas such as rehabilitation, healthcare, human-machine interaction, and underwater/noisy environments. The award period is from August 1, 2024 to July 31, 2027.