Dear all,
A reminder about this workshop, bringing together researchers in animal
and machine listening:
<http://listeninginthewild.eventbrite.co.uk/>
London, Tue 25th June
(more details below)
Thanks to those of you who have already registered and to those who have
submitted poster abstracts; the line-up is looking great. Important dates:
- Poster proposal deadline: Tue 11th June
- Registration deadline: Tue 18th June
- Workshop: Tue 25th June
Best wishes
Dan Stowell
LISTENING IN THE WILD: Animal and machine hearing in multisource
environments
Research workshop, QMUL, London
Tue 25th June, 10am-5pm
* 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 (Université Paris Sud, Orsay)
Communication in seabird colonies: vocal recognition in a noisy world
David Clayton (Queen Mary University of London)
New research opportunities in studies of vocal communication using
the zebra finch
Maria Chait (University College London)
Change detection in complex acoustic scenes
Richard Turner (University of Cambridge)
Auditory scene analysis and the statistics of natural sounds
Marc Naguib (Wageningen University, The Netherlands)
Noise effects on communication in song birds
Jon Barker (University of Sheffield)
Machine listening in unpredictable "multisource" environments:
Lessons learnt from the CHiME speech recognition challenges
Rachele Malavasi (Institute for Coastal Marine Environment, Oristano)
Auditory objects in a complex acoustic environment: the case of
bird choruses
Mathieu Lagrange (IRCAM, Paris & IRCCYN, Nantes)
Computing similarity measures for audio signals: from music to
environmental sounds
--
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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