52 citations · 333 across the 67 of their papers we have counts for
6 papers · 1 filter
POP909: A Pop-song Dataset for Music Arrangement Generation
Ziyu Wang, Ke Chen, Junyan Jiang +5
Music arrangement generation is a subtask of automatic music generation, which involves reconstructing and re-conceptualizing a piece with new compositional techniques. Such a gene…
Learning Interpretable Representation for Controllable Polyphonic Music Generation
Ziyu Wang, Dingsu Wang, Yixiao Zhang +1
While deep generative models have become the leading methods for algorithmic composition, it remains a challenging problem to control the generation process because the latent vari…
PIANOTREE VAE: Structured Representation Learning for Polyphonic Music
Ziyu Wang, Yiyi Zhang, Yixiao Zhang +4
The dominant approach for music representation learning involves the deep unsupervised model family variational autoencoder (VAE). However, most, if not all, viable attempts on thi…
Word Representation for Rhythms
Tongyu Lu, Lyucheng Yan, Gus Xia
This paper proposes a word representation strategy for rhythm patterns. Using 1034 pieces of Nottingham Dataset, a rhythm word dictionary whose size is 450 (without control tokens)…
Interactive Rainbow Score: A Visual-centered Multimodal Flute Tutoring System
Daniel Chin, Yian Zhang, Tianyu Zhang +2
Learning to play an instrument is intrinsically multimodal, and we have seen a trend of applying visual and haptic feedback in music games and computer-aided music tutoring systems…
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
Ke Chen, Gus Xia, Shlomo Dubnov
Automatic music generation is an interdisciplinary research topic that combines computational creativity and semantic analysis of music to create automatic machine improvisations.…