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Personal profile

Research Interests

Professor Pardo develops new methods in Machine Learning, Signal Processing and Human Computer Interaction to make new tools for understanding and manipulating sound. Ongoing research in his lab is applied to audio scene labeling, audio source separation, inclusive interfaces, new audio production tools and machine audition models that learn without supervision.

Education/Academic qualification

Computer Science and Engineering, PhD, University of Michigan

… → 2005

Jazz and Improvisation, MMus, University of Michigan

… → 2001

Computer Science, MS, Ohio State University

… → 1993

Jazz Composition, BMus, Ohio State University

… → 1990


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