Project Grant 2523649
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop new computational tools that can automatically evaluate audio quality in line with human perception. The Ohio State University will receive $300,000 over 3 years starting September 1, 2025 to create artificial intelligence models that learn to assess audio quality the way humans do, using novel machine learning...
- The National Science Foundation (NSF) awarded a $562,856 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the New Jersey Institute of Technology (NJIT) to develop adaptive artificial intelligence systems that can determine and caption important non-speech sounds in online video content. The research project aims to create tools that make non-speech audio cues, such as environmental sounds and speaking styles, accessible to viewers, including deaf,...
- 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 federal Project Grant award of $237,141.00 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop adaptive artificial intelligence systems that can determine which non-speech sounds, such as environmental sounds and audio cues, are important for understanding video content and present them in accessible formats for viewers, including deaf and hard-of-hearing individuals and older adults. The...
- This $821,902 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the development of a powerful AI model (POWSM) that can transcribe pronunciation using a universal system to represent sounds. The project, led by Carnegie Mellon University, aims to innovate speech recognition for low-resource language varieties by leveraging the predictable patterns in how pronunciations vary across different...
- This Project Grant award of $563,693 from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research by The Johns Hopkins University to advance scientific and machine learning capabilities for voice conversion. The project aims to explore theories about speaker identity, emotion, and expressiveness in challenging conditions like background noise, emotions, and cultural differences. The research will enable the development of voice...
- This $401,918 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research by the University of Rochester to investigate neural mechanisms underlying how the brain processes complex sounds like speech and music across different timescales. The key objectives are to use computational models and neural recordings from auditory cortex to understand the brain's flexible integration of sound information over...
- This Project Grant from the National Science Foundation (NSF) provides $1.4 million to support the "Toward an Ecosystem of Artificial Intelligence-Powered Music Production (TeamUp)" project under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The University of Rochester leads the effort to build foundations for a new ecosystem empowering musicians to leverage artificial intelligence (AI) tools in music creation, performance, and distribution. Key...
- The National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) awarded a Project Grant of $174,196 to The Board of Trustees of Whitman College in Walla Walla, Washington. This grant, titled "CRII: HCC: RUI: DEVELOPING PERSONAL AUDIO ARCHIVES AND TECHNOLOGY-MEDIATED LISTENING PRACTICES FOR EVERYDAY SONIC THINKING," will develop tools to enable people to record and interact with personally meaningful sounds in their daily lives,...
- This $386,139 National Science Foundation project grant supports the development of an ecosystem to empower musicians through artificial intelligence-enabled music production tools. Funded under the NSF Engineering program (CFDA 47.041), the four-year award to Northwestern University will create an open-source software framework and initiatives allowing musicians and AI researchers to collaborate on improving AI music creation tools. The framework will facilitate deployment of new AI models...
This Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, provides $300,000 to The Trustees of Princeton University to develop computational tools that can automatically evaluate audio quality while maintaining strong agreement with human perception. The research aims to create new artificial intelligence models that learn to assess audio quality the way humans do, using novel machine learning techniques applied to human perceptual judgments across speech, music, and environmental sounds. These advancements will improve quality assessment for recorded speech, with direct applications in speech analysis and synthesis. The project will also support graduate student training in machine learning and audio processing, contributing to workforce development in these critical technical areas. The performance period for this grant is September 1, 2025 through August 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/31/25 |