zenodoopen
CrossNet-Open-Unmix for Music Source Separation (X-UMXL)
<p>Weights of CrossNet-Open-Unmix (X-UMX) trained on the internal 100h dataset which is larger than <a href="https://sigsep.github.io/datasets/musdb.html">MUSDB18</a>, named X-UMX Large (X-UMXL). The weights can be used with <a href="https://github.com/asteroid-team/asteroid/tree/master/egs/musdb18/X-UMX">X-UMX on Asteroid (PyTorch)</a>. The details of X-UMX are described in <a href="https://ieeexplore.ieee.org/document/9414044">here</a>.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0