Dear all,
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. 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)
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