Full details of event location, contact details and free Eventbrite tickets for this delightful-sounding event at Queen Mary University of London (Stepney Green / Mile End) on Friday 28 August. The event’s organised by Dan Stowell and colleagues from the Centre for Digital Music (C4DM).
Listening in the Wild: Animal and machine audition in multisource environments
Research workshop, QMUL, London
Fri 28th August, 10:30am-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 complementary perspectives on making sense of natural and everyday sound.
- Annamaria Mesaros (Tampere University of Technology, Finland)
Sound event detection in everyday environments
- Alison Johnston (British Trust for Ornithology)
What proportion of birds do we detect? Variation in bird detectability by species, habitat and observer
- Jordi Bonada (Universitat Pompeu Fabra, Barcelona)
Probabilistic-based synthesis of animal vocalizations
- Sarah Angliss (composer, roboticist and sound historian, London)
- Rob Lachlan (Queen Mary University of London)
Analysing the evolution of complex vocal traits: song learning precision and syntax in chaffinches
- Alan McElligott (Queen Mary University of London)
Mammal vocalisations: from quality to emotions
- Emmanouil Benetos (City University London)
Matrix factorization methods for environmental sound analysis
- Acoustic 3-D tracking of cetaceans in the vicinity of tidal turbines
Douglas Gillespie, Jamie Macaulay, Jonathan Gordon, Bernie McConnell, Carol Sparling
- Vocal response of male serin, Serinus serinus, to interactive playback
Ana T. Mamede
- The Role of Form in Modelling Auditory Scene Analysis
S. L. Denham, M. Coath, S. A. Collins
- Quantifying difference in vocalizations of bird populations
- CHiME-Home: A Dataset for Sound Source Recognition in a Domestic Environment
Peter Foster, Sid Sigtia, Sacha Krstulovic, Jon Barker and Mark Plumbley
- Large-scale decline of bats and bush-crickets revealed thanks to automatic acoustic monitoring scheme.
Yves Bas, Christian Kerbiriou, Alienor Jeliazkov, Isabelle Le Viol, Jean-François Julien.
- Assessing snore sounds recorded in the home via smartphone
Amy V. Beeston and Guy J. Brown
- Automatic Acoustic Monitoring of Natural Systems: Towards the Detection and Classification of Bird Flight Calls
Justin Salamon, Juan Pablo Bello, Andrew Farnsworth, Steve Kelling
- Using of an iVector for Bird Identificiation on the Close Set
Ladislav Ptacek, Zbynek Zajic, Ludek Muller
- Dynamic Time Warping and Affinity Propagation Clustering for the categorisation of bird species: A case study
Simone Clemente, Marco Gamba, Daniela Pessani & Livio Favaro