DCASE 2020 : Detection and Classification of Acoustic Scenes and Events

We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to:

Tasks in computational environmental audio analysis

Acoustic scene classification
Sound event detection and localization
Audio tagging
Challenges in real-life applications (e.g., rare events, overlapping sound events, and weak labels)
Methods for computational environmental audio analysis

Signal processing methods
Machine learning methods
Auditory-motivated methods
Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science
Resources, applications, and evaluation of computational environmental audio analysis

Publicly available datasets or software, taxonomies and ontologies, evaluation procedures
Ethics, privacy, responsible research
Applications
Description of systems submitted to the DCASE 2020 Challenge, expanded from the challenge technical report submissions to include more discussions such as ablation studies for additional modules in your method
Reproducible research with open-source code and open data is encouraged (but not mandatory).