Biography
I am a DPI researcher studying signal processing for assistive and augmentative technologies. As a person with hearing loss, I am especially interested in assistive listening technologies such as hearing aids. As a PhD student and postdoctoral fellow in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, I focused on microphone arrays and distributed acoustic sensor networks, which aggregate signals from many devices to improve listening performance. In 2017, I helped to start the Illinois Augmented Listening Laboratory, an interdisciplinary team of undergraduate and graduate students developing listening-related technologies. This year, I will join DPI and the University of Illinois Chicago as an Assistant Professor of Electrical and Computer Engineering.
Research Interests
- Augmented listening: Developing signal processing systems to alter and enhance how humans perceive the world, for example to immersively “re-mix” real-life sounds for augmented reality and hearing assistive systems
- Hearing assistive technology: Studying systems and algorithms for hearing devices, such as hearing aids and cochlear implants, and situational assistive devices, such as streaming systems and remote microphones
- Intelligent audio networks: Developing “cooperative” architectures to allow multiple sensing devices, such as wearable, installed, and mobile devices, to share data and improve performance at sensing and inference tasks
- Audio research tools: With collaborators from our DPI Science Team, developing an automated acoustic research system that can generate large, dynamic, and realistic data sets for signal processing and acoustics research
Research Areas
- Audio and Acoustic Signal Processing
- Arrays and Sensor Networks
- Assistive and Augmentative Technology
Education
- Ph.D. in electrical and computer engineering, University of Illinois Urbana-Champaign, 2019
- M.S. in electrical and computer engineering, University of Illinois Urbana-Champaign, 2014
- B.S. in electrical engineering, Princeton University, 2012
Awards and Honors
- Future of Science Award from the Oak Ridge Institute for Science and Education, 2022
- Best Student Paper at the 179th Acoustical Society of America meeting, 2020
- Microsoft AI for Accessibility Grant, 2020
- Intelligence Community Postdoctoral Fellowship, 2019
- Best Student Paper Award from the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019
- Best New Exhibit from Engineering Open House, 2018
- Microsoft Research Dissertation Grant, 2018
- National Science Foundation Graduate Research Fellowship, 2014
In The News
- Oak Ridge Institute for Science and Education announces winners of inaugural Future of Science Awards to celebrate its 30th anniversary
- Turning Hearing Aids into Noise-Canceling Devices
- Across Acoustics Podcast: Acoustic effects of medical, cloth, and transparent face masks on speech signals
- Disposable surgical masks best for being heard clearly when speaking, study finds
- RapidAlarm: Hearing aid algorithm is secret ingredient in low-cost emergency ventilator monitoring system
- The Grainger College of Engineering and Carle Health demonstrate working prototype of emergency ventilator for COVID-19 patients
- CSL research team introduces unique wearable audio data set
- CSL students gain real research experience in class
- Video: Augmented Listening
- CSL graduate student receives Microsoft grant for work on augmented listening tech
Recent Publications
Ryan M. Corey, Sen Tao, Naveen Verma, and Andrew C. Singer, “Reliable measurement using unreliable binary comparisons,” Signal Processing, vol. 203, 108808, 2022
Ryan M. Corey, Manan Mittal, Kanad Sarkar, and Andrew C. Singer, “Cooperative speech separation with a microphone array and asynchronous wearable devices,” Interspeech (2022)
Ryan M. Corey, Manan Mittal, Kanad Sarkar, and Andrew C. Singer, “Adaptive crosstalk cancellation and spatialization for dynamic group conversation enhancement using mobile and wearable devices,” International Workshop on Acoustic Signal Enhancement, (2022)
Austin Lu, Ethaniel Moore, Arya Nallanthighall, Kanad Sarkar, Manan Mittal, Ryan M. Corey, Paris Smaragdis, and Andrew C. Singer, “Mechatronic generation of datasets for acoustics research,” International Workshop on Acoustic Signal Enhancement (2022)
Kanad Sarkar, Ryan M. Corey, and Andrew C. Singer, “Utilizing Time-of-Flight LIDARs For Spatial Audio Processing,” Asilomar Conference on Signals, Systems, and Computers (2021)
Ryan M. Corey and Andrew C. Singer, “Adaptive binaural filtering for a multiple-talker listening system using remote and on-ear microphones,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (2021)
Ryan M. Corey and Andrew C. Singer, “High/low model for scalable multimicrophone enhancement of speech mixtures,” European Signal Processing Conference (EUSIPCO) (2021)
Ryan M. Corey and Andrew C. Singer, “Modeling the effects of dynamic range compression on signals in noise,” The Journal of the Acoustical Society of America, vol. 150, no. 1, pp. 159-170 (2021)
Ryan M. Corey, Uriah Jones, and Andrew C. Singer, “Comparison of the acoustic effects of face masks on speech signals,” The Hearing Journal, vol. 74, no. 1, pp. 36-39, 2021
William P. King et al, “Emergency ventilator for COVID-19,” PLOS One, vol. 15, no. 12, e0244963, 2020
Ryan M. Corey, Uriah Jones, and Andrew C. Singer, “Acoustic effects of medical, cloth, and transparent face masks on speech signals,” The Journal of the Acoustical Society of America, vol. 148, no. 4, pp. 2371-5, 2020
Ryan M. Corey, Evan M. Widloski, David Null, Brian Ricconi, Mark Johnson, Karen White, Jennifer R. Amos, Alex Pagano, Michael Oelze, Rachel Switzky, Matthew B. Wheeler, Eliot Bethke, Clifford Shipley, and Andrew C. Singer, “Low-complexity system and algorithm for an emergency ventilator sensor and alarm,” IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 5, pp. 1088-1096, 2020
Ryan M. Corey and Andrew C. Singer, “Binaural audio source remixing with microphone array listening devices”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Ryan M. Corey, “Microphone Array Processing for Augmented Listening,” PhD Dissertation, University of Illinois at Urbana-Champaign, 2020
Ryan M. Corey, Matthew D. Skarha, and Andrew C. Singer, “Cooperative audio source separation and enhancement using distributed microphone arrays and wearable devices,” IEEE International Workshop on Computational Advances in Multisensor Adaptive Processing (CAMSAP), 2019
Ryan M. Corey and Andrew C. Singer, “Motion-tolerant beamforming with deformable microphone arrays,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Ryan M. Corey, Naoki Tsuda, and Andrew C. Singer, “Acoustic impulse responses for wearable audio devices,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019.