zenodoopen
Bach10scoreinformed Lasagne/Theano CNN model
<p>This dataset accompanies the paper:<br> M.Miron, J.Janer,E.Gomez,"Monaural score-informed source separation for classical music using convolutional neural networks", ISMIR 2017, http://mtg.upf.edu/node/3806</p> <p>The code is available at the github repository: https://github.com/MTG/DeepConvSep/tree/master/examples/bach10_scoreinformed</p> <p>We include the trained CNN model for the proposed approach, which can be used to separate Bach chorales with the code provided at the github repository. </p> <p> </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