Ozgur Izmirli



Contact Ozgur Izmirli
Email: oizm@conncoll.edu
Phone: (860) 439-5139
Fax: (860) 439-2722

Ozgur Izmirli, Associate Professor of Computer Science

Associate Professor of Computer Science

Joined Connecticut College: 1998

On sabbatical Fall 2014

Education
B.S., M.S., Ph.D., Middle East Technical University
Research at the Center for Computer Research in Music and Acoustics, Stanford University

Specializations
Content analysis of music audio
Music information retrieval
Music perception and cognition modeling
Multi-modal computer-user interfaces

Professor Ozgur Izmirli's research interests are concentrated in models for music understanding, music information retrieval, digital signal processing related to music audio, music perception and cognition modeling and multi-modal computer-user interfaces. More specifically he has devised several models for key finding and modulation detection. His key finding algorithm ranked first in the independent MIREX evaluation in 2005. He has over 40 publications in conference proceedings and journals.

Professor Izmirli also mentors independent studies and summer research in both computer science and arts and technology.

Professor Izmirli has been affiliated with The Ammerman Center for Arts & Technology (CAT) and has served as associate director for technology since he joined Connecticut College in 1998. Izmirli served two terms as the Judith Ammerman '60 Director of The Ammerman Center for Arts and Technology, completing his second term in 2014.

The Center brings together faculty and students via interdisciplinary projects, offers a certificate program for the students, and organizes colloquia and a biennial symposium for researchers and artists in the field of arts and technology.  Being one of the five interdisciplinary centers at Connecticut College, CAT has close ties to a variety of disciplines through its fellows in the computer science, music, art, dance, film studies, theater and English departments. 

Some of Izmirli's publications include:

  • “Cyclic Distance Patterns Among Spectra of Diatonic Sets: The Case of Instrument Sounds with Major and Minor Scales,” in the Journal of Computing in Musicology (2008)
  • “Localized Key Finding from Audio Using Nonnegative Matrix Factorization for Segmentation,” Proceedings of the 8th International Conference on Music Information Retrieval (2007)
  • “Audio Key Finding Using Low-Dimensional Spaces,” Proceedings of the 7th International Conference on Music Information Retrieval (2006)
  • “Template Based Key Finding From Audio,” Proceedings of the International Computer Music Conference (2005
  • “Signatures and Pattern Anchoring for Score Following,” Journal of New Music Research (2005).

Visit the computer science website.

Majoring in Computer Science. 

"My goal is to equip students with problem-solving skills and a generic knowledge of digital technology that facilitate interdisciplinary inquiry." - Ozgur Izmirli