Towards Machine Learning of Expressive Microtiming in Brazilian Drumming
@inproceedings{Wright2006TowardsML, title={Towards Machine Learning of Expressive Microtiming in Brazilian Drumming}, author={M. Wright and E. Berdahl}, booktitle={ICMC}, year={2006} }
We have used supervised machine learning to apply microtiming to music specified only in terms of quantized note times for a variety of percussion instruments. The output of the regression schemes we tried is simply the microtiming deviation to apply to each note. In particular, we trained Locally Weighted Linear Regression / KNearest-Neighbors (LWLR/KNN), Kernel Ridge Regression (KRR), and Gaussian Process Regression (GPR) on data from skilled human performance of a variety of Brazilian… CONTINUE READING
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