Project Grant 2523648
- 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...
- This $352,724 project grant awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program aims to investigate how long-term exposure to different speech environments shapes auditory perception and brain activity. Using auditory perception tasks and non-invasive brain recordings, the project will compare how speakers of languages with varying sound complexity process key speech features. The research will employ artificial...
- 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...
- 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...
- The National Science Foundation awarded a $390,585 Project Grant to The Ohio State University under the Engineering federal grant program (CFDA 47.041) for research titled "DEEP LEARNING BASED COMPLEX SPECTRAL MAPPING FOR MULTI-CHANNEL SPEAKER SEPARATION AND SPEECH ENHANCEMENT." This three-year award, effective August 1, 2021 through July 31, 2024, will support the development of deep learning techniques to separate and enhance speech from multi-channel recordings. The Engineering...
- The University of Iowa received a $1,199,085 project grant award from the National Science Foundation (NSF) Division of Computer and Network Systems under the CFDA program "Computer and Information Science and Engineering". The funding supports the development of new signal processing algorithms and configuration methods to personalize hearing aids and improve speech understanding, sound quality, and user satisfaction for individuals with hearing loss. The project aims to create two...
- This $450,028 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into statistical inference in the auditory system. The project, conducted by The Johns Hopkins University, explores how the brain extracts and organizes auditory information from complex, dynamic soundscapes. The research aims to develop a theoretical framework for statistical inference in auditory processing, supported by behavioral and...
- 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 $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 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 methodologies. This research aims to improve audio quality evaluation for applications like speech enhancement, audio compression, and hearing aids, ensuring that automated systems optimize for genuine improvements in human listening experiences. The project will also contribute to graduate student training in machine learning and audio processing.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/31/25 |