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cs.SD2024★ 1 cited
Why Perturbing Symbolic Music is Necessary: Fitting the Distribution of Never-used Notes through a Joint Probabilistic Diffusion Model
Shipei Liu, Xiaoya Fan, Guowei Wu
Existing music generation models are mostly language-based, neglecting the frequency continuity property of notes, resulting in inadequate fitting of rare or never-used notes and t…
cs.SD2023
More Perspectives Mean Better: Underwater Target Recognition and Localization with Multimodal Data via Symbiotic Transformer and Multiview Regression
Shipei Liu, Xiaoya Fan, Guowei Wu
Underwater acoustic target recognition (UATR) and localization (UATL) play important roles in marine exploration. The highly noisy acoustic signal and time-frequency interference a…
cs.SD2022
The Power of Fragmentation: A Hierarchical Transformer Model for Structural Segmentation in Symbolic Music Generation
Guowei Wu, Shipei Liu, Xiaoya Fan
Symbolic Music Generation relies on the contextual representation capabilities of the generative model, where the most prevalent approach is the Transformer-based model. The learni…