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"Intended Audience :: Developers",
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"Programming Language :: Python",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Topic :: Multimedia :: Sound/Audio :: Analysis"
],
"description": ".. image:: https://travis-ci.org/craffel/mir_eval.svg?branch=master\n :target: https://travis-ci.org/craffel/mir_eval\n.. image:: https://coveralls.io/repos/craffel/mir_eval/badge.svg?branch=master&service=github\n :target: https://coveralls.io/github/craffel/mir_eval?branch=master\n\nmir_eval\n========\n\nPython library for computing common heuristic accuracy scores for various music/audio information retrieval/signal processing tasks.\n\nDocumentation, including installation and usage information: http://craffel.github.io/mir_eval/\n\nIf 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/\n\nDependencies:\n\n* `Scipy/Numpy `_\n* future\n* six\n\nIf you use mir_eval in a research project, please cite the following paper:\n\nColin 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 `_\", Proceedings of the 15th International Conference on Music Information Retrieval, 2014.\n\n\n",
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