merlresearch/cocktail-fork-separation
Baseline multi-resolution cross network model trained using the Divide and Remaster Dataset
PythonMIT
Stargazers
- chenht2021Chengdu
- csteinmetz1@aim-qmul
- darius522https://saige.sice.indiana.edu
- doyeon-k
- dsx-aishanghai
- EdEddnEdgy
- faroitAudioshake
- fly51flyPRIS
- gguglie
- Godwins777
- gregjmorgenstein
- guillemcortesBarcelona
- hithereai
- HSUNEH
- jeonchangbin49
- JinhuaLiangLondon
- jzsherlock4869Tsinghua university
- koala73
- kwatcharasupatGeorgia Tech
- littlesulleyShanghai
- Luciushy
- matangoverMontreal, Canada
- MikhailSukhovei
- nkundiushutiEarth Species Project
- PedroOrtix
- Russell-Izadi-Bose
- rysudsjesterlabs
- SandalotsVolcanak
- sce285
- SherryYang1122
- StefanUhlich-sony@sony
- tiagotcunha
- TinglokBerkeley, CA
- yoyololiconPhD student in @aim-qmul at @c4dm, Queen Mary University of London
- Yuan-ManXShanghai, China
- zhanghuabing