Elaine Chew
Location: (Los Angeles, CA)
Personal Research Web Page: http://www-rcf.usc.edu/~mucoaco
Keywords: mathematics and computation in music, automated music analysis, music visualization, expressive performance analysis and synthesis, music information retrieval
Posted on: Wednesday, May 27th, 2009
Broad Research Area: AI / Machine Learning / Robotics / Vision, Graphics / Visualization, HCI / CSCW, Other, Social Computing / Social Informatics
Research Interests:
The research goal of the Music Computation and Cognition group at USC is to systematically study, computationally model, and scientifically explain human abilities in music perception and cognition, and in music making, such as music performance, improvisation, and composition.
Research projects at the laboratory address the three main areas of music analysis, performance, and composition/improvisation. They include:
• automatic analysis and visualization of musical structure;
• decoding and generation of decisions and gestures in expressive performance;
• multi-modal interaction in human-machine musical improvisation;
• style emulation in the generation of automated accompaniment;
• analysis of musical ensemble in remote performance; and,
• modeling of emotion perception in music and film.
The MuCoaCo website — http://www-rcf.usc.edu/~mucoaco — contains detailed project descriptions, publications, and video demonstrations. The broad areas spanned by the research projects are mirrored in the seminar course on Topics in Engineering Approaches to Music Cognition — http://www-scf.usc.edu/~ise575 .
The successful postdoctoral researcher is expected to engage in computational music research, and to have completed graduate-level training in at least one of the following quantitative analysis areas: mathematics, computer science, computational modeling, operations research, signal processing, statistics, or neuroscience. It is highly advantageous for the candidate to possess graduate-equivalent practical or theoretical knowledge in music analysis, performance, composition, or music perception and cognition. Preference is given to individuals with prior experience in music research.
Students who have participated in MuCoaCo research have come from primarily the Departments of Computer Science, Electrical Engineering, and Industrial and Systems Engineering in the USC Viterbi School of Engineering, the Thornton School of Music, and the Psychology Department. MuCoaCo alumni have garnered awards at USC, nationally, and at international conferences.
Contact Information:
Elaine Chew
email obfuscated - click to reveal
http://www-rcf.usc.edu/~echew
Associate Professor (on leave 9/2007-7/2009)
USC Viterbi School of Engineering and Thornton School of Music
Visiting Scholar (9/2008-7/2009)
Harvard University SEAS and Music Department
