The 8th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2023, will be held in Tampere on 20-22 September. We aim to bring together researchers from many different universities and companies with an interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions.
This year, the DCASE Workshop welcomes proposals for tutorials to be given in conjunction with the main event. We are seeking presenters for two short tutorials of 1,5 hours, to take place on Wednesday 20th of September, 14:00 - 17:30.
To make the conference attractive to student participants and newcomers into the field, in addition to the standard tutorial suggestions we particularly welcome tutorial proposals which either cover fundamental and introductory topics in DCASE, or present an informative coverage of current DCASE topics in a manner that is targeted towards people new to the field.
Proposal Submission: July 3, 2023 Anywhere On Earth (AOE)
Notification of Acceptance: July 15, 2023 Anywhere On Earth (AOE)
Proposals should be submitted as a PDF attachment via email to firstname.lastname@example.org by July 3 AOE, 2023.
Tutorial proposals should consist of a 2–3 page abstract including the following:
- Presenter names, affiliations, and email addresses
- Motivation and relevance of the tutorial
- Outline of the tutorial content
- Intended and expected audience
- Short biography of the presenters
- Presentation tools and format to be used
- Any other special requirements
Acceptance/rejection decisions will be made by the DCASE 2023 Workshop organizing committee, and notifications will be made by July 15, 2023. The decision will depend on the following criteria:
- Relevance (i.e., of interest to the whole community or only a segment thereof)
- Suitability to students who are new to DCASE and to those with basic knowledge of DCASE (rather than specialists)
- Quality, comprehensiveness and coverage
- Expertise of authors
- Complementarity of tutorials
- Usage of open-source and free software tools/data, reproducible research