C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
PAL: A Pattern-Based First-Order Inductive System
Machine Learning - special issue on inductive logic programming
Machine Learning
Analysis of Rachmaninoff's Piano Performances Using Inductive Logic Programming (Extended Abstract)
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Discovering Strong Principles of Expressive Music Performance with the PLCG Rule Learning Strategy
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
ICMAI '02 Proceedings of the Second International Conference on Music and Artificial Intelligence
In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project
DS '02 Proceedings of the 5th International Conference on Discovery Science
Analysis and Prediction of Piano Performances Using Inductive Logic Programming
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
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
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
Proceedings of the 9th annual conference on Genetic and evolutionary computation
A genetic rule-based model of expressive performance for jazz saxophone
Computer Music Journal
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In this paper, we describe an approach to learning expressive performance rules from monophonic Jazz standards recordings by a skilled saxophonist. We use a melodic transcription system which extracts a set of acoustic features from the recordings producing a melodic representation of the expressive performance played by the musician. We apply genetic algorithms to this representation in order to induce rules of expressive music performance. The rules collected during different runs of our system are of musical interest and have a good prediction accuracy.