13 citations · 14 across the 3 of their papers we have counts for
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cs.SD2024
MuDiT & MuSiT: Alignment with Colloquial Expression in Description-to-Song Generation
Zihao Wang, Haoxuan Liu, Jiaxing Yu +3
Amid the rising intersection of generative AI and human artistic processes, this study probes the critical yet less-explored terrain of alignment in human-centric automatic song co…
cs.SD2023★ 1 cited
MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation
Xinda Wu, Zhijie Huang, Kejun Zhang +5
Pre-trained language models have achieved impressive results in various music understanding and generation tasks. However, existing pre-training methods for symbolic melody generat…
cs.SD2022★ 13 cited
ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships
Chen Zhang, Luchin Chang, Songruoyao Wu +4
Lyric-to-melody generation, which generates melody according to given lyrics, is one of the most important automatic music composition tasks. With the rapid development of deep lea…