This is the submission system for the Professionally-produced music task of the 2018 SiSEC.
For the this year, submissions were handled via GitHub where each participant has submitted their results scores using pull requests.
| Submission Name | Blind | Add. train. Data |
|---|---|---|
| 2DFT | ✔️ | |
| HEL1 | ||
| HPLP | ✔️ | |
| HPSS | ✔️ | |
| IBM1 | Oracle | |
| IBM2 | Oracle | |
| IRM1 | Oracle | |
| IRM2 | Oracle | |
| JY1 | ||
| JY2 | ||
| JY3 | ||
| MDL1 | ||
| MDLT | ||
| MELO | ✔️ | |
| MIX | Oracle | |
| MWF | Oracle | |
| REP1 | ✔️ | |
| REP2 | ✔️ | |
| RGT1 | ||
| RGT2 | ||
| RPCA | ✔️ | |
| STL1 | ✔️ | |
| STL2 | ||
| TAK1 | ||
| TAK2 | ✔️ | |
| TAK3 | ✔️ | |
| TAU1 | ✔️ | |
| UHL1 | ||
| UHL2 | ||
| UHL3 | ✔️ | |
| WK |
Please refer to the analysis repository.
to be announced.
@inproceedings{
sisec2018,
title={The 2018 signal separation evaluation campaign},
author={F.-R. St{"o}ter and A. Liutkus and N. Ito},
booktitle={International Conference on Latent Variable Analysis and Signal Separation},
year={2018}
}
We thank Colin Raffel for the inspiration to use git for handling the SiSEC submissions.