C4.5: programs for machine learning
C4.5: programs for machine learning
PAL: A Pattern-Based First-Order Inductive System
Machine Learning - special issue on inductive logic programming
Analysis of Rachmaninoff's Piano Performances Using Inductive Logic Programming (Extended Abstract)
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Top-Down Induction of Clustering Trees
ICML '98 Proceedings of the Fifteenth International 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
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Professional musicians intuitively manipulate sound properties such as pitch, timing, amplitude and timbre in order to produce expressive performances of particular pieces. However, there is little explicit information about how and in which musical contexts this manipulation occurs. In this paper we describe a machine learning approach to modeling the knowledge applied by a musician when performing a score in order to produce an expressive performance. In particular, we apply inductive logic programming techniques in order to automatically learn models for both understanding and generating expressive violin performances.