Dear all,
On behalf of the organising committee and the IEEE AASP TC,* we invite
you to consider the first Bird Audio Detection Challenge:
http://machine-listening.eecs.qmul.ac.uk/bird-audio-detection-challenge/
Detecting bird sounds in audio is an important basic task in various
applications. The current generation of software tools require manual
work from the user: to choose the algorithm, to set the settings, and to
post-process the results. This is holding bioacoustics back in embracing
its "big data" era: let’s make this better!
We look forward to participation from students, researchers and
developers. We have prizes of £500 and €500 for the best submissions.
Please forward this to anyone who may be interested. This is a
cross-disciplinary challenge, and to solve it we need to reach people in
many different subject areas.
Best wishes
Dan Stowell
* the AASP TC is the Audio & Acoustic Signal Processing Technical
Committee of the IEEE Signal Processing Society
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Dan Stowell
EPSRC Research Fellow
Machine Listening Lab
Centre for Digital Music
Queen Mary, University of London
Mile End Road, London E1 4NS
http://www.mcld.co.uk/research/
http://machine-listening.eecs.qmul.ac.uk/
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