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

License: MIT License

JavaScript 1.71% Python 98.29%

mir_eval's Introduction

https://coveralls.io/repos/craffel/mir_eval/badge.svg?branch=master&service=github

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:

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", Proceedings of the 15th International Conference on Music Information Retrieval, 2014.

mir_eval's People

Contributors

craffel avatar bmcfee avatar justinsalamon avatar urinieto avatar dpwe avatar carlthome avatar ecmjohnson avatar rabitt avatar nils-werner avatar hendriks73 avatar f90 avatar daturkel avatar ejhumphrey avatar fdlm avatar pramoneda avatar ssfrr avatar stefan-balke avatar kukas avatar

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