DCASE2023 Workshop

Workshop on Detection and Classification of Acoustic Scenes and Events
20-22 September 2023, Tampere, Finland

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 8th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2023, will be held in Tampere on 20-22 September.

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.


The workshop will be held in Tampere Hall, Tampere, Finland.


Workshop schedule

Technical program
Wednesday 20 Sept 14:00 - 17:30 Tutorials
Thursday 21 Sept 9:00 - 17:30 Workshop technical program
Friday 22 Sept 9:00 - 17:30 Workshop technical program
Social program
Wednesday 20 Sept 18:00 - 19:30 City of Tampere welcome reception at Tampere City Hall ("Tampereen Raatihuone", Address: Keskustori 10)
Thursday 21 Sept 18:00 - 21:00 Social evening (informal dinner) at Sauna Restaurant Kuuma (address: Laukontori 21)

  Full workshop schedule


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

  • Environmental audio classification and tagging
  • Sound event detection and localization
  • Audio captioning and natural language based audio retrieval
  • Bio-acoustics
  • Environmental audio generation

Methods for computational environmental audio analysis

  • Signal processing and auditory-motivated methods
  • Multimodal methods
  • Machine learning methods: e.g. feature learning, self-supervised learning, foundation modeling for environmental audio
  • Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science
  • Generative modeling

Resources, applications, and evaluations of computational environmental-audio analysis

  • Publicly available datasets or software, taxonomies and ontologies, evaluation procedures
  • Modeling, simulation and synthesis of realistic acoustic scenes
  • Ethics, privacy, responsible research
  • Applications

We strongly encourage reproducible research with open-source code and open data, though it is not mandatory.

Important notice for challenge participants: Description of systems submitted to the DCASE2023 Challenge are expected to be expanded from the challenge technical report submissions to comply with the format of a scientific paper. This generally means describing the scientific novelty and including more discussions such as ablation studies for additional modules in your method.


Important Dates