Metadata-Version: 2.1
Name: mir-eval
Version: 0.6
Summary: Common metrics for common audio/music processing tasks.
Home-page: https://github.com/craffel/mir_eval
Author: Colin Raffel
Author-email: craffel@gmail.com
License: MIT
Keywords: audio music mir dsp
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Provides-Extra: display
Provides-Extra: testing
License-File: LICENSE.txt

.. 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.




