Welcome to Zhiyao Duan's Homepage!

Zhiyao Duan ()

Assistant Professor
Department of Electrical and Computer Engineering (primary)
Department of Computer Science (secondary)
Goergen Institute for Data Science (affiliated)
University of Rochester
Google Scholar Profile

Mailing Address:
University of Rochester
Hopeman 308, Box 270126
Rochester, NY 14627, USA.

Phone: +1 (585) 275-5302
Email: firstname <dot> lastname @ rochester.edu

News

  • We will be hosting NEMISIG 2017 + HAMR in February 2017 at the University of Rochester!
  • Three papers are accepted by ICASSP 2017.
  • I gave a talk on Complete Music Transcription at the Music Signal Processing session at the 5th joint meeting between the Acoustical Society of America and the Acoustical Society of Japan in December 2016.
  • I gave a talk on Complete Music Transcription at the WNYISPW 2016 workshop in November 2016.
  • I gave a talk on The Machine Musicianship at Beihang University in November 2016.
  • I gave a talk on AIR Lab Research Overview at the Chinese Sound and Music Technology (CSMT) workshop in November 2016.
  • I gave a talk on Sound Interactions at Indiana University Bloomington in September 2016.
  • I gave a talk on Sound Retrieval through Vocal Imitation at the RIASE workshop in August 2016.
  • Our research on Algorithms for Query by Example of Audio Databases is funded by the National Science Foundation in August 2016!
  • Our research on ECG Signal Analysis is funded by the Goergen Institute for Data Science Collaborative Pilot Award Program in Health Analytics in August 2016.

AIR Lab Recruits

I am looking for strongly motivated PhD students to work with me in the Audio Information Research (AIR) lab on cool computer audition projects. Students are expected to have a solid background in mathematics, programming, and academic writing. Experiences in music activities will be a plus. But most importantly, you should be fascinated by human's ability in perceiving and understanding sounds, and are willing to make computers to achieve this capability! If you are interested, please apply through the university's admission website, and mention my name in your personal statement. You are also welcome to send me an email, but I may not have the bandwidth to reply to every email. If you are around the Rochester area, please feel free to stop by my office for a chat.

If you are a master student or undergrad who wants to do a project/thesis with me, you are welcome too. Please send me an email or stop by my office.

Brief Bio

I am an assistant professor in the Department of Electrical and Computer Engineering at University of Rochester since July 2013. I also hold secondary appointments in the Department of Computer Science and the Goergen Institute for Data Science.

I received my Ph.D. from the Department of Electrical Engineering and Computer Science at Northwestern University under the supervision of Prof. Bryan Pardo. I received my bachelor's and master's degree from the Department of Automation at Tsinghua University in 2004 and 2008, respectively, under the supervision of Prof. Changshui Zhang.

I was a visiting researcher in the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University in 2007, and in the Perception and Neurodynamics Laboratory at the Ohio State University in 2013. I interned in the Speech group of Microsoft Research Asia (MSRA) in 2007 and 2008, and in the Advanced Technology Labs of Adobe Systems Inc. in 2011.

Research Interests

My research interests lie primarily in the emerging area of Computer Audition, which is about designing intelligent algorithms and systems that can understand sounds, including music, speech and environmental sounds. This is an interdisciplinary area that draws from signal processing, machine learning, psychoacoustics, music theory, etc. Specific problems that I have been working on include automatic music transcription, sound source separation, audio-score alignment, music annotation and recommendation, speech enhancement and emotion analysis, sound retrieval, and audio-visual analysis of music performances.

Updated on January 12, 2017