Video overview of my research: Ryan Corey - 2018 CSL Student Conference
New wearable microphone dataset: Wearable Microphone Impulse Responses - Illinois Data Bank
I am a seventh-year graduate student in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. My interests include audio processing, human and machine audition, statistical signal processing, machine learning, and information theory. I am advised by Professor Andrew Singer in the Coordinated Science Laboratory and supported by the the NSF Graduate Research Fellowship Program and the Microsoft Research Dissertation Grant. My current research is on multimicrophone audio signal processing, especially for listening devices such as hearing aids. I have also also worked on information processing systems built with unreliable emerging device technologies.
I grew up in the Chicago area and received a BSE degree in Electrical Engineering from Princeton University in 2012. As an undergraduate I studied optoelectronics and photonics, particularly photonic communication and signal processing. I also worked on robotics with Princeton Autonomous Vehicle Engineering (PAVE). At Illinois I participate in advocacy and mentoring activities with Out in STEM (oSTEM) and several engineering professional organizations. In my spare time I enjoy tinkering with circuits, automation, electronic lighting, and audio systems.
ECE 310: Digital Signal Processing
TE 401: Develop Breakthrough Projects
|Fall 2018||TE 401: Develop Breakthrough Projects
|Spring 2018||TE 401: Develop Breakthrough Projects
|Fall 2017||TE 401: Develop Breakthrough Projects
|Summer 2017||ECE 310: Digital Signal Processing
Primary instructor - List of teachers rated excellent by students
|Fall 2014||ECE 310: Digital Signal Processing
Homework & exam TA
|Spring 2013||ECE 445: Senior Design
Lab TA - List of teachers rated excellent by students
|Fall 2012||ECE 110: Introduction to Electrical and Computer Engineering
Lab TA - List of teachers rated excellent by students
|Spring 2012||ELE 302: System Design and Analysis
|Spring 2011||ELE 302: System Design and Analysis
I work with Professor Andrew Singer in the Coordinated Science Laboratory at the University of Illinois. I am developing new signal processing methods to enhance human and machine hearing in noisy environments, with an emphasis on hearing aid applications. In particular, my work focuses on microphone array processing for real-time noise reduction and signal enhancement.
My M.S. thesis was on mixed-signal interfaces using unreliable components. I used tools from statistical estimation theory to find fundamental limits on the performance of such systems and provide new analytical tools and metrics for mixed-signal circuit design.
I am supported by the National Science Foundation Graduate Research Fellowship Program and the Microsoft Research Dissertation Grant. I have also been supported by the Systems on Nanoscale Information fabriCs (SONIC) Center, an SRC Starnet center.
Large microphone arrays, with dozens or hundreds of elements, can better localize and separate signals than conventional small arrays. We are building and characterizing large microphone arrays, including wearable arrays (Wearable Dataset 2018), for machine listening and human listening enhancement applications. Our team of undergraduate and graduate researchers works in the Illinois Augmented Listening Laboratory, a new space for multichannel audio and acoustics research.
Array processing is often used for machine listening applications. However, it could also improve the performance of real-time listening devices such as hearing aids. Such devices could apply independent processing to multiple sound sources at once. Human listening applications have different constraints, such as spatial cue preservation (WASPAA 2017a), nonlinear processing (WASPAA 2017b), and delay constraints (IWAENC 2018b).
Speech signals are sparse in the time-frequency domain. We use sparse signal models, which are typically applied in single-microphone source separation, to improve the performance of multimicrophone systems. Sparsity can help with array calibration (LVA ICA 2018), separating underdetermined mixtures (WASPAA 2017a), and compensating for sample rate mismatch in ad hoc arrays (IWAENC 2018a).
For my senior thesis, I worked on a wideband adaptive beamforming array that uses all-optical tapped delay line filters. I developed a model, performed simulations, and wrote control software for the photonic system.
I worked with MIRTHE to design a low-coherence mid-infrared light source for trace gas sensing.
An open-access dataset of acoustic impulse responses measured at 160 positions on the body and various wearable accessories from 24 directions of arrival.
In 2008 I built a Christmas light control unit for my house. It was later installed at the Princeton Quadrangle Club and sychronized with dance music. Unfortunately, one of the chips melted before a video could be produced, so you'll have to take my word for it.
I led a team to build a pair of game tables at the Princeton Quadrangle Club. One is a bottlecap table containing several thousand bottlecaps. The other is an electronic table with music-sensing lights.
Tokyo, Japan, September 2018
Guildford, UK, June 2018
Urbana, IL, March 2018
Urbana, IL, February 2018
Curacao, December 2017
Pacific Grove, CA, October 2017
New York City, October 2017
New Paltz, NY, October 2017
Champaign, IL, October 2017
Austin, TX, September 2017
Pacific Grove, PA, November 2016
Champaign, IL, October 2016
Vietri Sul Mare, Italy, September 2016
Austin, TX, September 2016
Austin, TX, June 2016
Munich, Germany, March 2016
Pacific Grove, CA, November 2015
Champaign, IL, October 2015/em>
Austin, TX, September 2015
Belfast, Northern Ireland, October 2014
Urbana, IL, October 2014
Austin, TX, September 2014
A Coruna, Spain, June 2016
New York City, October 2013
Urbana, IL, October 2013
New York City, February 2011
Philadelphia, PA, February 2010
New York City, August 2009