LISTENING IN THE WILD: Animal and machine hearing in multisource environments
> Research workshop, Queen Mary, University of London
> Tue 25th June, 10am-5pm
> http://listeninginthewild.eventbrite.co.uk/
>
>* How do animals recognise sounds in noisy multisource
environments?
>* How should machines recognise sounds in noisy multisource
environments?
>
>This workshop will bring together researchers in engineering
disciplines (machine listening, signal processing, computer
science) and biological disciplines (bioacoustics, ecology,
perception and cognition), to discuss these complementary
perspectives on audition.
>
>The workshop is free to attend, but you must register on our
Eventbrite page: http://listeninginthewild.eventbrite.co.uk/
>
>
>INVITED SPEAKERS:
>
>Thierry Aubin
>Communication in seabird colonies: vocal recognition in a noisy
world
>http://www.cb.u-psud.fr/Thierry.htm
>
>David Clayton
>New research opportunities in studies of vocal communication using
the zebra finch
>http://claytonlab.sbcs.qmul.ac.uk/
>
>Maria Chait
>Change detection in complex acoustic scenes
>https://www.ucl.ac.uk/ear/research/profiles/chait
>
>Richard Turner
>http://www.gatsby.ucl.ac.uk/~turner/
>Auditory scene analysis and the statistics of natural sounds
>
>Jon Barker
>Machine listening in unpredictable "multisource" environments:
Lessons learnt from the CHiME speech recognition challenges
>http://staffwww.dcs.shef.ac.uk/people/J.Barker/
>
>Rachele Malavasi
>Auditory objects in a complex acoustic environment: the case of
bird choruses
>http://cnr-it.academia.edu/RacheleMalavasi/
>
>Mathieu Lagrange
>Computing similarity measures for audio signals: from music to
environmental sounds
>http://anasynth.ircam.fr/home/people/mathieulagrange
>
>
>CALL FOR POSTERS AND DEMOS:
>
>We invite you to present a poster and/or demonstration of your
work in this field. Please email a title and short abstract to
>
>
>ORGANISERS:
>
>Mark Plumbley
>Dan Stowell
>Phone: +44 20 7882 7986
>Email:
>
>
>--
>Dan Stowell
>Postdoctoral Research Assistant
>Centre for Digital Music
>Queen Mary, University of London
>Mile End Road, London E1 4NS
>http://www.elec.qmul.ac.uk/digitalmusic/people/dans.htm
>http://www.mcld.co.uk/
>
>
>
>
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