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)