"Listening in the Wild" workshop Tue 25th June: Animal and machine hearing in multisource environments

[Dan Stowell <dan.stowell@xxxxxxxxxxxxxxx>]

[Please feel free to forward as appropriate]


LISTENING IN THE WILD: Animal and machine hearing in multisource 
environments
   Research workshop, QMUL, 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

Marc Naguib
https://www.nioo.knaw.nl/users/mnaguib/
(title tbc)

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 
dan.stowell@xxxxxxxxxxxxxxx


ORGANISERS:

Mark Plumbley
Dan Stowell
Phone: +44 20 7882 7986
Email: dan.stowell@xxxxxxxxxxxxxxx


--
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/