52 citations · 160 across the 18 of their papers we have counts for
23 papers
Vis2Mus: Exploring Multimodal Representation Mapping for Controllable Music Generation
Runbang Zhang, Yixiao Zhang, Kai Shao +2
In this study, we explore the representation mapping from the domain of visual arts to the domain of music, with which we can use visual arts as an effective handle to control musi…
Modeling Perceptual Loudness of Piano Tone: Theory and Applications
Yang Qu, Yutian Qin, Lecheng Chao +3
The relationship between perceptual loudness and physical attributes of sound is an important subject in both computer music and psychoacoustics. Early studies of "equal-loudness c…
Learning Hierarchical Metrical Structure Beyond Measures
Junyan Jiang, Daniel Chin, Yixiao Zhang +1
Music contains hierarchical structures beyond beats and measures. While hierarchical structure annotations are helpful for music information retrieval and computer musicology, such…
Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation
Jingwei Zhao, Gus Xia, Ye Wang
The variational auto-encoder has become a leading framework for symbolic music generation, and a popular research direction is to study how to effectively control the generation pr…
Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention
Jingwei Zhao, Gus Xia, Ye Wang
We propose Beat Transformer, a novel Transformer encoder architecture for joint beat and downbeat tracking. Different from previous models that track beats solely based on the spec…
Learning long-term music representations via hierarchical contextual constraints
Shiqi Wei, Gus Xia
Learning symbolic music representations, especially disentangled representations with probabilistic interpretations, has been shown to benefit both music understanding and generati…