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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

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.

Ryan M. Corey, Naoki Tsuda, and Andrew C. Singer, “Delay-performance tradeoffs in causal microphone array processing,” International Workshop on Acoustic Signal Enhancement (IWAENC), 2018.

Ryan M. Corey and Andrew C. Singer, “Speech separation using partially asynchronous microphone arrays without resampling,” International Workshop on Acoustic Signal Enhancement (IWAENC), 2018.

Ryan M. Corey and Andrew C. Singer, “Relative transfer function estimation from speech keywords,” International Conference on Latent Variable Analysis and Signal Separation (LVA ICA), 2018.

Ryan M. Corey and Andrew C. Singer, “Wideband source localization using one-bit quantized arrays,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017

Ryan M. Corey and Andrew C. Singer, “Real-world evaluation of multichannel audio enhancement using acoustic pilot signals,” Asilomar Conference on Signals, Systems, and Computers, 2017

Ryan M. Corey and Andrew C. Singer, “Underdetermined methods for multichannel audio enhancement with partial preservation of background sources,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017

Ryan M. Corey and Andrew C. Singer, “Dynamic range compression for noisy mixtures using source separation and beamforming,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017

S. Tao, N. Verma, R. Corey and A. Singer, “A 10-b Statistical ADC employing pipelining and sub-range in 32nm CMOS,” IEEE International Symposium on Circuits and Systems (ISCAS), 2017

 

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