DCASE2020 Workshop

Workshop on Detection and Classification of Acoustic Scenes and Events
26-27 October 2020, Tokyo, Japan

Contact

DCASE Workshop

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 5th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2020, will be held in Tokyo on October 26-27 2020.

As in 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 topic, and provide the opportunity for scientific exchange of ideas and opinions.

The technical program will include invited speakers on the topic of computational everyday sound analysis and recognition, and oral and poster presentations of accepted papers. Additionally, a special poster session will be dedicated to the DCASE 2020 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
  • 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 evaluation results and comparison.

Reproducible research with open-source code and open data is encouraged (but not mandatory).

Venue

Hitachi Central Research Laboratory, Tokyo, Japan.

Important Dates