59 citations · 375 across the 88 of their papers we have counts for
4 papers · 1 filter
EmoGen: Eliminating Subjective Bias in Emotional Music Generation
Chenfei Kang, Peiling Lu, Botao Yu +4
Music is used to convey emotions, and thus generating emotional music is important in automatic music generation. Previous work on emotional music generation directly uses annotate…
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework
Ang Lv, Xu Tan, Peiling Lu +4
Symbolic music generation aims to create musical notes, which can help users compose music, such as generating target instrument tracks based on provided source tracks. In practica…
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
Botao Yu, Peiling Lu, Rui Wang +6
Symbolic music generation aims to generate music scores automatically. A recent trend is to use Transformer or its variants in music generation, which is, however, suboptimal, beca…
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint
Zhonghao Sheng, Kaitao Song, Xu Tan +4
Automatic song writing aims to compose a song (lyric and/or melody) by machine, which is an interesting topic in both academia and industry. In automatic song writing, lyric-to-mel…