Project Grant R44DC015443

Federal Grant Award Summary Omnispeech, LLC received a $292,543 Project Grant award from the National Institute on Deafness and Other Communication Disorders under the Research Related to Deafness and Communication Disorders program (CFDA 93.173). The award, effective September 1, 2025 through August 31, 2026, funds the development of an artificial intelligence-based speech enhancement (SE) algorithm optimized for integration into hearing aid devices. The project builds on Omnispeech's...

This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $463,227 to Stony Brook University's Research Foundation to develop an efficient, skin-friendly, and unobtrusive silent speech interface system. The key products to be delivered include: Unobtrusive electromyogram sensing electrodes to track speech-relevant muscle activities. Machine learning algorithms based on deep Gaussian process networks to decode the sensing signals for speech...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, aims to create a framework for mobile device developers to use on-device sign language recognition to develop educational software for deaf children and their hearing parents. The $549,999 award to Georgia Tech Research Corporation will fund the development of educational software, tools, datasets, and machine learning models to be released...

This National Science Foundation project grant of $318,850 will fund research at the University of California, Los Angeles from May 2022 to April 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The research aims to improve speech technology and develop automated oral literacy assessments to better support learning outcomes for young African American English-speaking children. Specifically, the university researchers will develop data augmentation and...

This SBIR Phase I project, awarded by the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop an innovative AI-driven platform for interactive language learning designed for young children. The $303,226 award will fund the creation of a personalized, adaptive solution that uses phoneme recognition and learning algorithms to track, assess, and respond to the individual language progress of each child. The platform is designed...

This National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences Project Grant, awarded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports the development of speech technology infrastructure and corpus phonetics research for low-data languages. Awarded to The Research Foundation for the State University of New York (RF SUNY) on September 1, 2025, with a total obligation of $101,674.00 and completion date of August 31, 2027, the project...

This Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) provides $739,346 to the University of Michigan for research titled "A Scalable Configurable Acoustic Processor for Emerging Audio Applications." The research aims to address challenges around scale, time accuracy, latency, and synchronization for very large acoustic transducer arrays. This will enable applications like high-resolution acoustic holography, non-invasive surgery, augmented...

This $178,992 National Science Foundation project grant supports research at Georgia State University Research Foundation to improve speech technology for better learning outcomes among African American English-speaking children. Funded under the Computer and Information Science and Engineering program, the three-year award aims to develop data augmentation and normalization techniques to increase the amount of training data available and improve automatic speech recognition performance for this...

This $256,000 National Science Foundation SBIR Phase I Project Grant will support the development of a haptic glove for real-time speech comprehension by Subtle Technology LLC. The glove aims to convert auditory speech into information perceivable through the skin as a potential supplement to existing techniques like lip reading for the over 466 million people worldwide with hearing loss. Key objectives include developing an intuitive touch-based language representation of words and a...

This three-year, $399,918 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop flexible deep speech synthesis through gestural modeling. Awarded to Carnegie Mellon University on October 1, 2021 and set to conclude on September 30, 2024, the grant supports collaborative research between Carnegie Mellon and the University of California, Berkeley. Specifically, the universities will explicitly introduce mechanistic aspects...