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DCASE 2017 - 2017 Workshop on Detection and Classification of Acoustic Scenes and Events

Date2017-11-16 - 2017-11-17

Deadline2017-07-31

VenueMunich, Germany Germany

Keywords

Websitehttps://www.cs.tut.fi/sgn/arg/dcase2017/workshop

Topics/Call fo Papers

DCASE 2017 Workshop is the 2nd workshop on Detection and Classification of Acoustic Scenes and Events. It is dedicated to recent advances on computational analysis of everyday environmental audio scenes and on closely related topics. The technical program will include invited speakers, oral and poster presentations of peer-reviewed submissions, and a special session about the DCASE 2017 Challenge.
We invite submissions relevant to the field, 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, 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
- Applications
- Description of systems submitted to the DCASE 2017 Challenge
Venue: Hotel Maritim, Munich, Germany
Organizing committee:
General chairs: Tuomas Virtanen, Annamaria Mesaros
Program chairs: Emmanuel Vincent, Emmanouil Benetos
Publications chair: Toni Heittola, Benjamin Elizalde
Local arrangements: Aleksandr Diment
Important dates:
Paper submission: 31 July 2017
Notification of acceptance: 15 Sept 2017
Camera-ready papers and workshop registration: 20 Oct 2017
Workshop: 16-17 Nov 2017
More information:
http://www.cs.tut.fi/sgn/arg/dcase2017/workshop/
dcase.workshop-AT-gmail.com

Last modified: 2017-06-14 23:25:51