16 citations · 85 across the 17 of their papers we have counts for
5 papers · 1 filter
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation
Chen Zhang, Yi Ren, Kejun Zhang +1
While deep generative models have empowered music generation, it remains a challenging and under-explored problem to edit an existing musical piece at fine granularity. In this pap…
SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias
Zihao Wang, Qihao Liang, Kejun Zhang +8
Real-time music accompaniment generation has a wide range of applications in the music industry, such as music education and live performances. However, automatic real-time music a…
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…
Automatic Song Translation for Tonal Languages
Fenfei Guo, Chen Zhang, Zhirui Zhang +4
This paper develops automatic song translation (AST) for tonal languages and addresses the unique challenge of aligning words' tones with melody of a song in addition to conveying…
S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification
Hang Zhao, Chen Zhang, Belei Zhu +2
In this paper, we propose S3T, a self-supervised pre-training method with Swin Transformer for music classification, aiming to learn meaningful music representations from massive e…