https://github.com/mir-evaluation/mir_eval
Evaluation functions for music/audio information retrieval/signal processing algorithms.
https://github.com/mir-evaluation/mir_eval
Last synced: about 1 month ago
JSON representation
Evaluation functions for music/audio information retrieval/signal processing algorithms.
- Host: GitHub
- URL: https://github.com/mir-evaluation/mir_eval
- Owner: mir-evaluation
- License: mit
- Created: 2013-08-06T17:04:10.000Z (over 11 years ago)
- Default Branch: main
- Last Pushed: 2025-02-24T18:08:57.000Z (about 2 months ago)
- Last Synced: 2025-02-24T19:23:47.785Z (about 2 months ago)
- Language: Python
- Size: 14.5 MB
- Stars: 625
- Watchers: 28
- Forks: 117
- Open Issues: 36
-
Metadata Files:
- Readme: README.rst
- License: LICENSE.txt
Awesome Lists containing this project
- awesome-production-machine-learning - mir_eval - evaluation/mir_eval.svg?style=social) - mir_eval is a Python library which provides a transparent, standardized, and straightforward way to evaluate Music Information Retrieval systems. (Evaluation and Monitoring)
README
.. image:: https://anaconda.org/conda-forge/mir_eval/badges/version.svg
:target: https://anaconda.org/conda-forge/mir_eval
.. image:: https://img.shields.io/pypi/v/mir_eval.svg
:target: https://pypi.python.org/pypi/mir_eval
.. image:: https://github.com/mir-evaluation/mir_eval/actions/workflows/test.yml/badge.svg
:target: https://github.com/mir-evaluation/mir_eval/actions/workflows/test.yml
.. image:: https://codecov.io/gh/mir-evaluation/mir_eval/graph/badge.svg?token=OzRL3aW7TX
:target: https://codecov.io/gh/mir-evaluation/mir_eval
.. image:: https://img.shields.io/pypi/l/mir_eval.svg
:target: https://github.com/mir-evaluation/mir_eval/blob/main/LICENSE.txt
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: https://mir-evaluation.github.io/mir_eval/
Dependencies:
* `Scipy/Numpy `_
* `decorator `_
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.