Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Analysis of Rachmaninoff's Piano Performances Using Inductive Logic Programming (Extended Abstract)
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Analysis and Prediction of Piano Performances Using Inductive Logic Programming
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
Making Music with Algorithms: A Case-Study System
Computer Music Journal
Sound onset detection by applying psychoacoustic knowledge
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Understanding expressive music performance using genetic algorithms
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
A survey of computer systems for expressive music performance
ACM Computing Surveys (CSUR)
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In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordings of real Jazz saxophone performances from which we extract a symbolic representation of the musician's expressive performance. We then apply an evolutionary algorithm to the symbolic representation in order to obtain computational models for different aspects of expressive performance. Finally, we use these models to automatically synthesize performances with the expressiveness that characterizes the music generated by a professional saxophonist.