3260 papers • 126 benchmarks • 313 datasets
Texture is the collective temporal homogeneity of acoustic events.
(Image credit: Papersgraph)
These leaderboards are used to track progress in music-texture-transfer-15
No benchmarks available.
Use these libraries to find music-texture-transfer-15 models and implementations
No datasets available.
No subtasks available.
A novel system for transferring the texture of music, composed of a converter which represents sounds as texture spectra, a corresponding reconstructor and a feed-forward transfer network, which achieves convincing results in both sound effects and computational performance.
Adding a benchmark result helps the community track progress.