sed_eval - Evaluation toolbox for Sound Event Detection


sed_eval is an open source Python toolbox which provides a standardized, and transparent way to evaluate sound event detection systems (see Sound Event Detection). In addition to this, it provides tools for evaluating acoustic scene classification systems, as the fields are closely related (see Acoustic Scene Classification).

The toolbox can be used in any of the following ways:


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]