14 citations · 19 across the 8 of their papers we have counts for
8 papers
RPPNet: Perceptually-Grouped Rhythm-Pitch Primitives for Long-Term Structure Melody Generation via Boundary-Aware Modeling
Tieyao Zhang, Yuke Liu, Jiaxing Yu +3
Existing symbolic music generation models typically use bars as the basic structural unit. However, human perception of musical phrases often does not align with notated bar lines,…
Song Aesthetics Evaluation with Multi-Stem Attention and Hierarchical Uncertainty Modeling
Yishan Lv, Jing Luo, Boyuan Ju +4
Music generative artificial intelligence (AI) is rapidly expanding music content, necessitating automated song aesthetics evaluation. However, existing studies largely focus on spe…
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
Jiaxing Yu, Xinda Wu, Yunfei Xu +4
Lyric-to-melody generation aims to automatically create melodies based on given lyrics, requiring the capture of complex and subtle correlations between them. However, previous wor…
ArchiTone: A LEGO-Inspired Gamified System for Visualized Music Education
Jiaxing Yu, Tieyao Zhang, Songruoyao Wu +4
Participation in music activities has many benefits, but often requires music theory knowledge and aural skills, which can be challenging for beginners. To help them engage more ea…
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…
REMAST: Real-time Emotion-based Music Arrangement with Soft Transition
Zihao Wang, Le Ma, Chen Zhang +8
Music as an emotional intervention medium has important applications in scenarios such as music therapy, games, and movies. However, music needs real-time arrangement according to…
WuYun: Exploring hierarchical skeleton-guided melody generation using knowledge-enhanced deep learning
Kejun Zhang, Xinda Wu, Tieyao Zhang +5
Although deep learning has revolutionized music generation, existing methods for structured melody generation follow an end-to-end left-to-right note-by-note generative paradigm an…
MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers
Yilun Zhao, Jia Guo
Music annotation has always been one of the critical topics in the field of Music Information Retrieval (MIR). Traditional models use supervised learning for music annotation tasks…