38 citations · 75 across the 16 of their papers we have counts for
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cs.SD2021★ 3 cited
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer
Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow +2
Attention-based Transformer models have been increasingly employed for automatic music generation. To condition the generation process of such a model with a user-specified sequenc…
cs.LG2021★ 14 cited
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu +3
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity. In the meantime, relative positional encoding (RPE) was pro…
cs.SD2021★ 4 cited
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
Shih-Lun Wu, Yi-Hsuan Yang
Transformers and variational autoencoders (VAE) have been extensively employed for symbolic (e.g., MIDI) domain music generation. While the former boast an impressive capability in…