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2016

Symbolic Music Data Version 1.0

Walder, Christian

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In this document, we introduce a new dataset designed for training machine learning models of symbolic music data.

Five datasets are provided, one of which is from a newly collected corpus of 20K midi files.
We describe our preprocessing and cleaning pipeline, which includes the exclusion of a number of files based on scores from a previously developed probabilistic machine learning model.
We also define training, testing and validation splits for the new dataset, based on a clustering scheme which we also describe.

Symbolic Music Data Version 1.0 · Around

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Advances in Neural Information Processing Systems 17 (2005)
M. Allan and C. K. I. Williams, Harmonising Chorales by Probabilistic Inference · 2005
Earlier work this paper cites.
EURASIP J. Adv. Sig. Proc. 2007
G. E. Poliner and D. P. W. Ellis, A Discriminative Model for Polyphonic Piano Transcription · 2007
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arXiv (2016), 1606.01368
Original
C. Walder, Modelling Symbolic Music: Beyond the Piano Roll · 2016
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