The workshop aims to provide a venue for researchers working on computational analysis of sound events and scene analysis to present and discuss their results.
The 7th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2022, will be held in Nancy on November 3-4. The event will be held in presence with oral talks being broadcasted.
As in the previous years, the workshop is organized in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities and companies with an interest in the topics, and provide an opportunity for scientific exchange of ideas and opinions. The technical program will include invited talks, and oral and poster presentations of accepted papers. In addition, a special poster session will be dedicated to the DCASE 2022 challenge entries and results.
Topics
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 and event detection
- Anomalous sound detection
- Sound event detection and localization
- Sound event detection and separation
- Audio tagging
- Automated audio captioning
- Challenges in real-life applications (e.g., rare events, overlapping sound events, 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, material science, transport science
Resources, applications, and evaluations 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 2022 Challenge, expanded from the challenge technical report submissions to include more discussions such as ablation studies for additional modules in your method.
We strongly encourage reproducible research with open-source code and open data, though it is not mandatory.
Important notice for challenge participants: Note that whereas each DCASE challenge submission must be accompanied by a technical report describing the system, in order to be considered for presentation at the peer-reviewed workshop, such a report must be augmented with a careful analysis thereof to guarantee fair conditions to non-challenge submissions which provide meaningful and usable insight.
Important Dates
Organizers
Venue
The venue will be announced at a later stage.