An approach to predicting bowing control parameter contours in violin performance

Maestre Gómez, Esteban; Ramírez, Rafael, 1966-

doi:http://dx.doi.org/10.3233/IDA-2010-0441

An approach to predicting bowing control parameter contours in violin performance

Citation

Maestre E, Ramírez R. An approach to predicting bowing control parameter contours in violin performance. Intelligent Data Analysis. 2010; 14(5): 587-599. DOI 10.3233/IDA-2010-0441

Abstract

We present a machine learning approach to modeling bowing control parameter/ncontours in violin performance. Using accurate sensing techniques/nwe obtain relevant timbre-related bowing control parameters such as bow/ntransversal velocity, bow pressing force, and bow-bridge distance of each/nperformed note. Each performed note is represented by a curve parameter/nvector and a number of note classes are defined. The principal components/nof the data represented by the set of curve parameter vectors are obtained/nfor each class. Once curve parameter vectors are expressed in the new space/ndefined by the principal components, we train a model based on inductive/nlogic programming, able to predict curve parameter vectors used for rendering/nbowing controls. We evaluate the prediction results and show the potential/nof the model by predicting bowing control parameter contours from an/nannotated input score.