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github.com/TUT-ARG/sed_eval
.. image:: https://travis-ci.org/TUT-ARG/sed_eval.svg?branch=master :target: https://travis-ci.org/TUT-ARG/sed_eval
.. image:: https://coveralls.io/repos/github/TUT-ARG/sed_eval/badge.svg?branch=master :target: https://coveralls.io/github/TUT-ARG/sed_eval?branch=master
.. image:: https://img.shields.io/pypi/v/sed_eval.svg :target: https://pypi.python.org/pypi/sed_eval
.. image:: https://img.shields.io/badge/license-MIT-blue.svg :target: https://opensource.org/licenses/MIT
sed_eval is an open source Python toolbox which provides a standardized, and transparent way to evaluate sound event detection systems.
Authors
GitHub <https://github.com/toni-heittola>
, <http://www.cs.tut.fi/~heittolt/>
)<http://www.cs.tut.fi/~mesaros/>
_)See http://tut-arg.github.io/sed_eval for manual and tutorials.
The latest stable release is available on PyPI, and you can install with pip::
pip install sed_eval
Alternatively you can download or clone toolbox and use pip
to handle dependencies::
unzip sed_eval.zip
pip install -e sed_eval
or::
git clone https://github.com/TUT-ARG/sed_eval.git
pip install -e sed_eval
The toolbox is tested to work with Python 2.7 and Python 3.6.
If you use sed_eval in a research project, please cite the following paper:
Annamaria Mesaros, Toni Heittola, and Tuomas Virtanen, "Metrics for polyphonic sound event detection", Applied Sciences, 6(6):162, 2016 [HTML <http://www.mdpi.com/2076-3417/6/6/162>
][PDF <http://www.mdpi.com/2076-3417/6/6/162/pdf>
]
Code released under the MIT license <https://github.com/TUT-ARG/sed_eval/tree/master/LICENSE.txt>
_.
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