semvec/pypi-packages huggingface dataset:
mir_eval 0.7
Common metrics for common audio/music processing tasks.
License: MIT
Keywords: audio music mir dsp

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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.