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 9th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2024, will be held in Tokyo on 23-25 October.
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.
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
- Environmental audio classification and tagging
- Sound event detection and localization
- Audio captioning and natural language based audio retrieval
- Bio-acoustics
- Environmental audio generation
- Anomalous sound detection
- Audio source separation
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
- Perceptual analysis and modeling of acoustic environments
Resources, applications, and evaluations of computational environmental-audio analysis
- Publicly available datasets: e.g., multichannel dataset, noisy dataset, missing dataset, mismatch device dataset
- Publicly available 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 DCASE2024 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
Organizers
Venue
The workshop will be held in Shinagawa Season Terrace Conference, Tokyo, Japan.