81 citations · 100 across the 11 of their papers we have counts for
7 papers · 1 filter
Is One Score Enough? Assessing Singing Quality of Songs with Temporal Score Curves
Yishan Lv, Jing Luo, Xinyu Yang +1
Singing Quality Assessment (SQA) has become increasingly important for practical multimedia applications and Music AI systems, yet existing studies predominantly focus on short sin…
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…
Exploring Classical Piano Performance Generation with Expressive Music Variational AutoEncoder
Jing Luo, Xinyu Yang, Jie Wei
The creativity of classical music arises not only from composers who craft the musical sheets but also from performers who interpret the static notations with expressive nuances. T…
Small Tunes Transformer: Exploring Macro & Micro-Level Hierarchies for Skeleton-Conditioned Melody Generation
Yishan Lv, Jing Luo, Boyuan Ju +1
Recently, symbolic music generation has become a focus of numerous deep learning research. Structure as an important part of music, contributes to improving the quality of music, a…
BandCondiNet: Parallel Transformers-based Conditional Popular Music Generation with Multi-View Features
Jing Luo, Xinyu Yang, Dorien Herremans
Conditional music generation offers significant advantages in terms of user convenience and control, presenting great potential in AI-generated content research. However, building…
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Zi Huang, Shulei Ji, Zhilan Hu +3
Music emotion recognition (MER), a sub-task of music information retrieval (MIR), has developed rapidly in recent years. However, the learning of affect-salient features remains a…
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions
Shulei Ji, Jing Luo, Xinyu Yang
The utilization of deep learning techniques in generating various contents (such as image, text, etc.) has become a trend. Especially music, the topic of this paper, has attracted…