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 `_, ``_) - Annamaria Mesaros (annamaria.mesaros@tut.fi, ``_) 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 `_][`PDF `_] License ======= Code released under `the MIT license `_.