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Python library for computing common heuristic accuracy scores for various music/audio information retrieval/signal processing tasks.
Documentation, including installation and usage information: http://craffel.github.io/mir_eval/
If you're looking for the mir_eval web service, which you can use to run mir_eval without installing anything or writing any code, it can be found here: http://labrosa.ee.columbia.edu/mir_eval/
Dependencies:
Scipy/Numpy <http://www.scipy.org/>_If you use mir_eval in a research project, please cite the following paper:
Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel P. W. Ellis, "mir_eval: A Transparent Implementation of Common MIR Metrics <http://colinraffel.com/publications/ismir2014mir_eval.pdf>_", Proceedings of the 15th International Conference on Music Information Retrieval, 2014.
FAQs
Common metrics for common audio/music processing tasks.
We found that mir_eval demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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