Project Grant N62909131C203

The National Science Foundation Division of Behavioral and Cognitive Sciences awarded a $200,000 Project Grant under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075) to the University of Illinois on February 15, 2022. The grant will support research to develop new evaluation and training paradigms for inclusive automatic speech recognition over a three-year period ending January 31, 2025. Specifically, the university will create open-source black-box and...

Northwestern University was awarded a $400,000 Project Grant from the National Science Foundation Social, Behavioral, and Economic Sciences program to develop new methods for analyzing acoustic variation in speech using unsupervised deep learning techniques. The goal is to discover a representational space for speech that captures subtle but meaningful differences in pronunciation in a holistic manner similar to human speech perception abilities. The university will apply these methods to...

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 $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 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 Division of Behavioral and Cognitive Sciences provides $245,398 to support research estimating articulatory constriction place and timing from speech acoustics under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The award funds development of a speech inversion tool to recover details of articulatory movements from acoustic speech recordings using machine learning methods. Researchers will extend...

New York University received a $235,134 Project Grant award from the National Institute on Deafness and Other Communication Disorders (NIDCD) under the Research Related to Deafness and Communication Disorders program (CFDA 93.173). The award, obligated on May 21, 2025, with completion targeted for November 30, 2026, supports the development of artificial intelligence (AI)-based tools to enhance speech therapy for children with speech sound disorder (SSD). The project leverages machine learning...

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 $165,014 National Science Foundation project grant will fund the development of linguistically-driven sign recognition technologies from continuous American Sign Language (ASL) signing videos. The Rochester Institute of Technology will receive funding under the Computer and Information Science and Engineering program (CFDA 47.070) to advance sign recognition techniques for isolated citations to segmented signs within sentences. The research will create an end-to-end machine learning...

This Project Grant award from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075), supports research to develop a computational model that mimics how the human brain detects and repairs speech errors. The $686,537 project, awarded to Trustees of Indiana University, will build the largest publicly available multilingual database of speech errors and repairs across four languages - English,...