Project Grant 2141246

Award Date 6/15/22
Completion Date 11/30/25
Dollars Obligated $101K
Federal Grant Program
47.075
Assistance Type
Project Grant
Place of Performance
Cincinnati, OH 45267, USA
Similar Awards
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...
This Project Grant award from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences supports research at the University of California, Irvine (UC Irvine) to investigate the neural mechanisms underlying speech production. The project aims to generate a functional map of the brain systems that enable fluent speech, with the goal of improving diagnosis and treatment of speech production deficits. The $965,471 award, effective August 1, 2023 through July 31, 2026,...
The National Science Foundation (NSF) awarded a $550,299 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Trustees of Indiana University, doing business as Indiana University, to conduct research on the transfer of statistical learning from speech perception to production. The project aims to understand the mechanisms by which the brain coordinates listening and speaking, even when changes are subtle and not consciously identifiable. Preliminary data...
This National Science Foundation (NSF) Project Grant award, funded under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports the development of a digital phonological atlas to chart the speech patterns of an underexplored language variety. The $238,206 award, granted on May 15, 2025, will enable researchers at Indiana University to conduct linguistic interviews with 160 participants across different regions, utilizing phonetic analysis and spatial mapping tools to...
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...
The University of Southern California will receive $1.2 million under a four-year Project Grant from the National Science Foundation to conduct research on structured variability in vocal tract articulation dynamics during speech. The grant is part of NSF's Computer and Information Science and Engineering program, which supports research and education in all areas of computing, communications, and information science and engineering. Through May 2027, USC researchers will use advanced magnetic...
This $409,956 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports a 3-year research project on the "Perception and Imitation of Speech and Song: The Parameter Reweighting Hypothesis." The project aims to investigate similarities and differences in how people process and produce speech versus song, with a goal of understanding why the ability to imitate vocals comes easily for some but is quite...
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,...
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 (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 $100,602 National Science Foundation project grant supports the development of a speech inversion tool by researchers at the University of Cincinnati. Funded under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), the three-year award will refine machine learning methods to accurately recover articulatory movements from acoustic speech recordings. Specifically, the researchers aim to extend their existing system for analyzing tongue and lip movements to also model nasality using soft palate positioning and voicing involving glottal movements. They will train and validate the expanded tool using a new corpus of co-collected audio and articulatory data from American English speakers. Validation tests with Canadian French and Russian productions will evaluate the tool's ability to generalize across languages with different articulatory patterns. When fully developed, the speech inversion system could help identify medical issues impacting speech motor control and track changes from conditions like depression. The technology also has potential to improve automated speech recognition and facilitate remote research on communities' speech patterns.

Generated 1/6/24, 12:37 PM