This Project Grant award of $377,764 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program supports research at Gettysburg College to develop a new AI model called POWSM (Phonetic Open Whisper-Style Speech Model) for universal speech-to-text across language varieties. The project aims to leverage systematic relationships and phonetic foundations to enable speech recognition for low-resource language variants, even when limited...
This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
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...
Carnegie Mellon University was awarded a $193,532 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant is part of the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in these fields. Under the grant, Carnegie Mellon University will conduct research to improve techniques of automatic speech recognition and transfer learning using documentary linguistic corpora. The goal is...
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 National Science Foundation project grant of $260,147 will fund research at the University of Washington 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 assessment tools for young speakers of African American English to enhance early education outcomes. Specifically, the university researchers will develop data augmentation and normalization...
This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $268,067 to develop advanced speech technologies and create educational resources for language research and learning. The project addresses critical language needs by leveraging automatic speech recognition, text-to-speech, and other speech technologies to bridge the gap between linguistic research and practical application. Key activities include developing...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research to better understand the differences between how humans and AI language models process and interpret language. The $432,656 award to the University of Massachusetts (UMass) will explore techniques to align AI models more closely with human language comprehension, including investigating the relationship between model...
This Project Grant award of $1,051,622.00 from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program aims to create crucial training datasets, predominantly optimized for speech recognition (speech-to-text), for three underrepresented American sociolinguistic contexts: a sociolect, a code-switching language context, and an indigenous language. The methodology prioritizes building the agency, skills, and knowledge required for...
The National Science Foundation (NSF) awarded a $244,179 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of Illinois. The grant, titled "CAREER: Personalized Speech Enhancement: Test-Time Adaptation Using No or Few Private Data," will develop machine learning methods to personalize speech enhancement systems without requiring clean voice data from users, which addresses privacy concerns and enables more...