Challenge on Detection and Classification of Acoustic Scenes and Events

We invite researchers in signal processing, machine learning and other fields to participate in our challenge - the IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events. Now available:

* Public datasets (CC-licensed, audio and annotations) for scene classification and event detection

* Task specifications for our first two tasks, scene classification and event detection (office live)

* A Linux virtual machine, which you may use to test your code

* Templates for challenge extended abstracts

The deadline for submissions is 31st March. Results will be presented/discussed in a special session at WASPAA 2013 (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, October 20-23 2013, New York, USA).

Full details:
http://www.elec.qmul.ac.uk/digitalmusic/sceneseventschallenge/

Please feel free to ask us questions directly or via the challenge
mailing list http://www.eecs.qmul.ac.uk/mailman/listinfo/aasp-challenge.

Best wishes,
The organisers -- Dimitrios Giannoulis (QMUL), Emmanouil Benetos
(CityU/QMUL), Dan Stowell (QMUL), Mathias Rossignol (IRCAM), Mathieu Lagrange (IRCAM) and Mark D. Plumbley (QMUL)