.. image:: https://travis-ci.org/craffel/mir_eval.svg?branch=master :target: https://travis-ci.org/craffel/mir_eval .. image:: https://coveralls.io/repos/craffel/mir_eval/badge.svg?branch=master&service=github :target: https://coveralls.io/github/craffel/mir_eval?branch=master
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/
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.