``sed_eval`` - Evaluation toolbox for Sound Event Detection =========================================================== - Toni Heittola (toni.heittola@tut.fi, `GitHub `_, `Home `_) - Annamaria Mesaros (annamaria.mesaros@tut.fi, `Home `_) .. figure:: _static/evaluation_overview.png :target: _static/evaluation_overview.png :align: center :width: 100% ``sed_eval`` is an open source Python toolbox which provides a standardized, and transparent way to evaluate sound event detection systems (see :ref:`sound_event`). In addition to this, it provides tools for evaluating acoustic scene classification systems, as the fields are closely related (see :ref:`scene`). The toolbox can be used in any of the following ways: * By using the included evaluator scripts directly (see :ref:`install` and :ref:`evaluators`). This is suitable if the system to be evaluated is implemented using some other platform than Python. * By importing it and calling it from your own Python code (see :ref:`install` and :ref:`sed_eval_quickstart`) 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 `_] .. _installation: Getting started --------------- .. toctree:: :maxdepth: 1 install tutorial API documentation ----------------- .. toctree:: :maxdepth: 1 sound_event scene audio_tag metric test util io Reference --------- .. toctree:: :maxdepth: 1 glossary changelog * :ref:`genindex`