Welcome!

I am an assistant professor in the School of Informatics and Computing at Indiana University. My research broadly addresses ways that enable computers to process, understand, and response to sound information. I have specific interests in the areas of speech separation, speech recognition, speaker identification, and music processing, to name a few, where I am interested in using these methods in real-world devices, such as cell phones, hearing aids, and robots. A combination of machine learning, signal processing, and statistical-based techniques are used.

I completed my Ph.D. in the Computer Science and Engineering department at The Ohio State University, under the supervision of Prof. DeLiang Wang. Prior to that, I was fortunate to be a Member of the Engineering Staff at Lockheed Martin for a few years. I received a Masters of Science degree from the Department of Electrical and Computer Engineering at Drexel University and a Bachelor's degree from the Department of Electrical and Computer Engineering at the University of Delaware.

Latest News

6/6/2017

Our paper on the "Impact of Phase Estimation on Single-Channel Speech Separation Based on Time-Frequency Masking" was accepted for publication in the Journal of the Acoustical Society of America (JASA)

4/19/2017

I gave a talk to IU's Data Science Club about work on "Separating Speech from Background Noise using a Deep Neural Network and a Complex Mask".

4/9/2017

Our paper on "Time-Frequency Masking in the Complex Domain for Speech Dereverberation and Denoising" was accepted for publication in IEEE Trans. on Audio, Speech, and Lang. Proc. (TASLP)

12/12/2016

Our paper on "SPEECH DEREVERBERATION AND DENOISING USING COMPLEX RATIO MASKS" was accepted for publication in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2017

11/7/2016

I gave a talk at IU's Intelligent & Interactive Systems (IIS) Talk Series today, about our recent work on "Separating Speech from Background Noise using a Deep Neural Network and a Complex Mask". [Video Link]

Position Openings

I am looking for highly motivated Ph.D. students that are interested in working on speech processing projects. Students are expected to have a solid background in machine learning, artificial intelligence, signal processing, or statistics. A strong background in speech and hearing science would also be beneficial. Prospective students are also expected to have basic programming experience. If interested, current IU Ph.D. students should send me their CV and a brief description of their research interests. I encourage all prospective IU Ph.D. students to go through the formal application process.