81 citations · 84 across the 5 of their papers we have counts for
5 papers
MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion
Shulei Ji, Xinyu Yang
Generating music with emotion is an important task in automatic music generation, in which emotion is evoked through a variety of musical elements (such as pitch and duration) that…
Emotion-Conditioned Melody Harmonization with Hierarchical Variational Autoencoder
Shulei Ji, Xinyu Yang
Existing melody harmonization models have made great progress in improving the quality of generated harmonies, but most of them ignored the emotions beneath the music. Meanwhile, t…
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…
MG-VAE: Deep Chinese Folk Songs Generation with Specific Regional Style
Jing Luo, Xinyu Yang, Shulei Ji +1
Regional style in Chinese folk songs is a rich treasure that can be used for ethnic music creation and folk culture research. In this paper, we propose MG-VAE, a music generative m…