The task of cover song identification is a relevant one in the field of Music Informatics Research. We have been working on methods to identify covers in large datasets, more specifically on the Million Song Dataset. Our approach, that makes use of various machine learning algorithms (sparse coding, linear discriminative analysis), outperforms previous results for this same task.

Source Code

The source code for this project can be found on github.

Acknowledgements

This project was supported by the “Caja Madrid” Foundation and the NSF.