Ryan Corey

For More Information

• Innovation in Augmented Listening Technology (Blog)
• Ryan M. Corey - Home Page

Education

• MS, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2014
• BSE, Electrical Engineering, Princeton University, 2012

Research Statement

My research is on spatial signal processing using microphone arrays, with an emphasis on human listening technologies such as hearing aids.

Undergraduate Research Opportunities

Our team is always looking for talented undergraduate students to help develop new listening technologies. Our students conduct experiments, collect data, design prototypes, and develop embedded hardware and software. Learn more at our blog at go.illinois.edu/augmentedlistening

Selected Articles in Journals

• Ryan M. Corey and Andrew C. Singer, "A Multistage Architecture for Statistical Inference with Stochastic Signal Acquisition", Journal of Signal Processing Systems, July 2015.

Articles in Conference Proceedings

• Ryan M. Corey and Andrew C. Singer, "Scalar Estimation From Unreliable Binary Observations", Proc. 8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), June 2014.
• Ryan M. Corey, Andrew C. Singer, Sen Tao, and Naveen Verma, "A Low Complexity Estimation Architecture Based on Noisy Comparators", Proc. IEEE Workshop on Signal Processing Systems (SiPS), October 2014.
• Ryan M. Corey and Andrew C. Singer, "Detection of Communication Signals Using Stochastic Quantization", Asilomar Conference on Signals, Systems, and Computers, November 2015.
• Ryan M. Corey and Andrew C. Singer, "Spatial Sigma-Delta Signal Acquisition for Wideband Beamforming Arrays", ITG Workshop on Smart Antennas (WSA), March 2016.
• 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), October 2017.
• Ryan M. Corey and Andrew C. Singer, "A Hypothesis Testing Framework for Real-Time Multichannel Speech Separation Using Time-Frequency Masks", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), September 2016.
• Ryan M. Corey and Andrew C. Singer, "Nonstationary Source Separation for Underdetermined Speech Mixtures", Asilomar Conference on Signals, Systems, and Computers, November 2016.
• 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), May 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), October 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), October 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, October 2017.
• 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), July 2018.
• Ryan M. Corey and Andrew C. Singer, "Speech Separation Using Partially Asynchronous Microphone Arrays Without Resampling", International Workshop on Acoustic Signal Enhancement (IWAENC), September 2018.
• Ryan M. Corey, Naoki Tsuda, and Andrew C. Singer, "Delay-Performance Tradeoffs in Causal Microphone Array Processing", International Workshop on Acoustic Signal Enhancement (IWAENC), September 2018.
• 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), May 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), October 2019.
• 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), December 2019.
• 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), May 2020.

Other Publications

• Ryan M. Corey, Matthew D. Skarha, and Andrew C. Singer, Massive Distributed Microphone Array Dataset, University of Illinois at Urbana-Champaign, 2019.
• Ryan M. Corey, Naoki Tsuda, and Andrew C. Singer, Wearable Microphone Impulse Responses, University of Illinois at Urbana-Champaign, 2018.

Patents

• Ryan M. Corey, "Multi-Microphone Speech Processing System," US Patent Number 9,881,634, Filed December 1, 2016, Issued January 30, 2018.

Teaching Honors

• List of Teachers Ranked as Excellent by Their Students (Spring 2019)
• List of Teachers Ranked as Excellent by Their Students (Summer 2014)
• List of Teachers Ranked as Excellent by Their Students (Spring 2013)
• List of Teachers Ranked as Excellent by Their Students (Fall 2012)

Research Honors

• Best Student Paper Award at WASPAA 2019 (2019)
• Intelligence Community Postdoctoral Fellowship (2019)
• Microsoft Research Dissertation Grant (2018)
• National Science Foundation Graduate Research Fellowship (2013)

Recent Courses Taught

• ECE 310 - Digital Signal Processing
• TE 401 F - Develop Breakthrough Projects