Online Proceedings here(50Mo).
Schedule:
07:30 | Opening | Glotin - A Bioacoustic Turing test ? |
07:40 | Natural Neural Bioacoustic Learning | 07:40 Tchernichovski - Physiological brain processes that underlie song learning 08:10 Pollack - Neuroethology of hearing in crickets: embedded neural process to avoid bat |
08:45 | Neurosonar Classification | 08:45 Stathopoulos - Bat call classification |
09:00 | Coffee Break | |
09:25 | Representation for bioacoustics | 09:25 Glotin & Razik - Sparse coding & whale song evolution 09:45 Halkias - SAE & DNN for whale classif. |
10:05 | Advanced ANN |
10:05 LeCun - ConvNets & DNN for Bioacoustics 10:40 Kindermann - ANN sound interpolation |
10:55 | Learning to Track by Passive Acoustics |
10:55 Doh - Inter Spectral Attenuation ANN: Range & Bearing Physeter est.
11:03 Paris - Physeter Localization: Sparse coding & Fisher vectors 11:20 Mathias - Physeter Multiple Range estim. 11:30 Mishchenko - Bat tracking with LM acceleration |
11:35 | Non Human speech processing |
11:35 Trone - Speech of Dolphin : transient formant ?
11:45 Janvier - Speech of Monkey ? 11:50 Shokoohi - Mouse Genome & Bioacoustics |
12:10 | Lunch break | |
13:30 | Posters (1/2) & Discussion | |
15:30 | Bird song multilabel multi-instance Challenge | Kaggle NIPS4B Winner:Lasseck Mario
15:30 Dufour - Challenge overview / Multilabel for songs 15:40 Lasseck - Winner of Kaggle Bird NIPS4B 15:48 Stowell - http://vimeo.com/81440385 15:55 Potamitis - Bird syllabic classif. |
16:00 | Whale song Challenge | 16:00 Mercado - www.youtube.com/watch?v=YHM18JmC9Eo
16:05 Potamitis - Eff. syllabic clustering 16:10 Bartcus - Infinite Parcim. GMM 16:15 Cazeau - Chaos and whale song 16:20 Randall - Gabor Scatnet filtering |
16:25 | Posters (2/2) & Discussion | |
17:00 | Coffee break | |
17:30 | Feature learning | 17:30 Elie - Data driven bearing features |
17:50 | BIG Bioacoutic DATA |
17:50 Hoeberechts - Canadian submarine bioacoustic Big Data
18:05 Kinderman - Antartic submarine bioacoustic Big Data 18:17 Glotin - Mediterranean Big Data 18:25 Panel Discussion |
18:45 | Closing |