Peiling Lu
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MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models Open
AI-empowered music processing is a diverse field that encompasses dozens of tasks, ranging from generation tasks (e.g., timbre synthesis) to comprehension tasks (e.g., music classification). For developers and amateurs, it is very difficul…
View article: EmoGen: Eliminating Subjective Bias in Emotional Music Generation
EmoGen: Eliminating Subjective Bias in Emotional Music Generation Open
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 annotated emotion labels as control signals, which suffers from sub…
MuseCoco: Generating Symbolic Music from Text Open
Generating music from text descriptions is a user-friendly mode since the text is a relatively easy interface for user engagement. While some approaches utilize texts to control music audio generation, editing musical elements in generated…
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework Open
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 practical scenarios where there's a predefined ensemble of tracks a…
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models Open
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2023.
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks Open
Human usually composes music by organizing elements according to the musical form to express music ideas. However, for neural network-based music generation, it is difficult to do so due to the lack of labelled data on musical form. In thi…
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks Open
Human usually composes music by organizing elements according to the musical form to express music ideas. However, for neural network-based music generation, it is difficult to do so due to the lack of labelled data on musical form. In thi…
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation Open
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, because the full attention cannot efficiently model the typical…
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks Open
Human usually composes music by organizing elements according to the musical form to express music ideas. However, for neural network-based music generation, it is difficult to do so due to the lack of labelled data on musical form. In thi…
View article: TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method Open
Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiang-Yang Li, Tao Qin, Tie-Yan Liu. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
View article: TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method Open
Lyric-to-melody generation is an important task in automatic songwriting. Previous lyric-to-melody generation systems usually adopt end-to-end models that directly generate melodies from lyrics, which suffer from several issues: 1) lack of…