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mir_eval

Evaluation functions for music/audio information retrieval/signal processing algorithms.

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.. 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

mir_eval

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/>_
  • future
  • six

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.

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