Over the years, I have worked in numerous academic and industrial projects related to the content analysis of audio signals. In these projects, I have developed many prototype systems for various sound classification and detection problems. While organizing the DCASE challenges and workshops, I have developed baseline systems, evaluation toolbox, data visualization tools, and many plugins for Pelican static site generator used to for DCASE websites. This page lists some of the tools which have been released publicly.
DCASE2019 Task 1 Baseline system (Python)
DCASE2018 Baseline system (task 1, Python)
Machine Learning Approach for Analysis of Sound Scenes and Events, Example systems
DCASE2017 Baseline system (tasks 1-3, Python)
DCASE2016 Baseline system (tasks 1&3, Python)
DCASE2016 Baseline system (tasks 1&3, Matlab)
ICASSP2019 Tutorial notebooks
dcase_util - Utilities for Detection and Classification of Acoustic Scenes
sed_eval - Evaluation toolbox for Sound Event Detection
sed_vis - Visualization toolbox for Sound Event Detection
JQuery plugin to generate dynamic HTML tables with data visualization
These plugins and themes are made for Pelican static site generator. They can be seen in action in the DCASE2016, DCASE2017, and DCASE Community websites, in addition to my personal website. Feel free to use them in your own website projects.