Corpus ID: 13456193

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}
}
  • M. Wright, E. Berdahl
  • Published in ICMC 2006
  • Mathematics, Computer Science
  • 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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