The role of time in engineering computer music systems
NIME '05 Proceedings of the 2005 conference on New interfaces for musical expression
Music score alignment and computer accompaniment
Communications of the ACM - Music information retrieval
Bootstrap learning for accurate onset detection
Machine Learning
An experimental comparison of audio tempo induction algorithms
IEEE Transactions on Audio, Speech, and Language Processing
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Augmenting performances of live popular music with computer systems poses many new challenges. Here, "popular music" is taken to mean music with a mostly steady tempo, some improvisational elements, and largely predetermined melodies, harmonies, and other parts. The overall problem is studied by developing a framework consisting of constraints and subproblems that any solution should address. These problems include beat acquisition, beat phase, score location, sound synthesis, data preparation, and adaptation. A prototype system is described that offers a set of solutions to the problems posed by the framework, and future work is suggested.