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github.com/TUT-ARG/sed_eval

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sed_eval - Evaluation toolbox for Sound Event Detection

.. 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

  • Toni Heittola (toni.heittola@tut.fi, GitHub <https://github.com/toni-heittola>, <http://www.cs.tut.fi/~heittolt/>)
  • Annamaria Mesaros (annamaria.mesaros@tut.fi, <http://www.cs.tut.fi/~mesaros/>_)

Documentation

See http://tut-arg.github.io/sed_eval for manual and tutorials.

Installation instructions

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

Dependencies

The toolbox is tested to work with Python 2.7 and Python 3.6.

  • numpy >= 1.7.0
  • dcase_util >= 0.2.4

Citing

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>]

License

Code released under the MIT license <https://github.com/TUT-ARG/sed_eval/tree/master/LICENSE.txt>_.

FAQs

Package last updated on 24 Jul 2018

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