VirtuosoNet: A Hierarchical Attention RNN for Generating Expressive Piano Performance from Music Score

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Interpreting and performing of music score is a challenging task for computers. We propose a musically structured hierarchical attention network to generate expressive piano performance in MIDI format given symbolic music scores such as musicXML. The network takes a sequence of input features extracted from each note in the score and returns performance parameters for the note. The model can render various expressive elements in music performance, including tempo change, dynamics, micro-timing of individual notes, and pedal control.
Publisher
The Neural Information Processing Systems (NIPS) Foundation
Issue Date
2018-12-08
Language
English
Citation

Conference on Neural Information Processing Systems(NeurIPS)

URI
http://hdl.handle.net/10203/249827
Appears in Collection
GCT-Conference Papers(학술회의논문)
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