Contact (PI)


Pr. H. Glotin

Sciences de l'Information et des Systèmes Lab. (LSIS) - UMR CNRS 7296
University of Toulon, BP20132, 83957 La Garde CEDEX, France
Tél. +33(0)4 94 14 28 24 glotin@univ-tln.fr


Teams


* LSIS UMR CNRS 7296 Toulon DYNI team (8 participants)

Pr. H. Glotin

Institut Univ. de France & UTLN

Hervé is professor at university of Toulon, and member of the Insitut Universitaire de France. He is leading at CNRS LSIS the DYNI team on stochastic multimodal information retrieval. He conducted his PhD at the Inst. of Perceptual Artificial Intelligence (IDIAP Swiss.) and at Inst. of Spoken Communication - Perception Team Grenoble, on "Robust adaptive multi-stream automatic speech recognition using voicing and localization cues".
His research focuses on multimodal pattern analysis and retrieval systems, cognitive models, applied to image and bioacoustic data science. He co-authors an international (USA, CA, EU) patent on real-time multiple bioacoustic source tracking. He has been keynote speaker at the American Society of Acoustics 2013 "Conditioning, Segmentation and Feature Extraction in Bioacoustics", ERICE summer school 2013, and at the Big Data workshop Tokyo nov 2014.

Associate Pr. Joseph Razik

Dyni Team at Univ Toulon, France

Joseph Razik is assistant professor at the University of Toulon and DYNI project of the LSIS lab since September 2009. After completing a Ph.D. in automatic speech recognition, he acquired skills in the field of multimodal speaker recognition during his postdoctoral training. The themes of his research fields on Pattern Recognition in Artificial Intelligence are applied to audio and video and deal with classification, segmentation and indexing of audio and/or video. Through these themes and experiences, Joseph Razik has gained expertise in statistical modeling (HMM, GMM, SVM, etc.) and parameters extraction, both in audio and video mode. His recent topic of interest are the use of sparse coding and scattering operator to improve the robustness of the input parameter features, especially in large scale context

Associate Pr. Faicel Chamroukhi

Dyni Team at Univ Toulon, France

I received my Ph.D. in statistical machine learning and data analysis in 2010 from Compiègne University of Technology and my Master degree in Signals Systems Images and Robotics in 2007 from PARIS 6 University. My primary research interests include machine learning, probabilistic modeling, functional data analysis and their applications to signal and image processing and pattern recognition.

Associate Pr. Sébastien Paris

Dyni Team at Univ Toulon, France

Sébastien is expert in particle filtering, detection and tracking

Associate Pr. Emmanuel Bruno

Dyni Team at Univ Toulon, France

Emmanuel is expert in semi-structured digital data managemnent system (XML), and personalised heterogeneous data indexing using ontology.

Ph.D Ales Mishchenko

Dyni Team at Univ Toulon, France

He is expert in applied mathematics (Moscow), expert in real-time 3D tracking, on whales and bats.

Ph.D Yann Doh

Dyni Team at Univ Toulon, France

Phd student on scaled whale monitoring, he defended his Phd in dec. 2014.

MS. Marcus Bartcus

Dyni Team at Univ Toulon, France

Phd student on non parametric Bayesian model, partly demonstrated to bioacoustics.

*LSIS UMR CNRS 7296 Toulon ESCODI team (2 participants)

Pr. Éric Busvelle

Escodi Team at Univ Toulon, France

Eric is expert in real-time analysis for non linear system dynamics, applied in Sabiod for active-passive acoustic tracking

Associate Pr. Nicolas Boizot

Escodi Team at Univ Toulon, France

Nicolas is expert in extended Kalhman filter and automatic control

* Toulon university, Dpt biology and computer science (2 participants)

Ph.D Pascale Giraudet

Biology Department

Ph.D in neurophysiology, expert in bioacoustics of cetaceans.

Ing. Jean-Marc Prévot

Computer Science Department

System administrator, designer of embedded hardware, Website administrator.

* INRIA ZENITH Montpellier (2 participants)

Researcher CR INRIA Alexis Joly

Alexis is involved in multimodal indexing and in the LifeClef lab. that co-organizes the Bird Challenge.

Ing. Hervé Goëau

He is involved in multimodal indexing and in the LifeClef lab. that co-organizes the Bird Challenge.

* Institut des Sciences du Mouvement - UMR 7287 - Marseille (1 participant)

Researcher CR CNRS Franck Ruffier

Franck Ruffier is expert in biomimetic perception.

* Géoazur - UMR 7329 - Valbonne (1 participant)

Researcher DR CNRS Anne Deschamps

As seismologist, I participate to sea floor instrumentation during temporary deployments. We use continuously recording 0.1Hz-50Hz hydrophones to observe and characterize earthquakes in oceanic regions. I am promoting seismological permanent sea floor observation within EMSO (European Multidisciplinary Seafloor Observatory) program and have installed a seismometer connected to the Ligurian node. My participation within SABIOD consists in insure data transfer between two communities and share data analysis knowledge

* Laboratoire de Mécanique et d'Acoustique - UPR 7051 - Marseille (2 participants)

Researcher CR CNRS Paul Cristini

équipe Ondes et Imagerie

Ph.D Erick Ogam

équipe Ondes et Imagerie

Erick is expert in ultrasonic and array sensors

* Centre d'Études Biologiques de Chizé - UPR 1934 - Chizé (1 participant)

Researcher CR CNRS Christophe Guinet

* LIF - AMU (1 participant)

Pr. Thierry Artières

Machine Learning and Information Retrieval Research Team

I received my Ph. D. on Neural Predictive Models Applied to Speaker Recognition in 1995 at Paris Sud university. I then joined Université de Cergy Pontoise in 1996 and then I joined the Computer Science Lab (LIP6) in Université Paris 6 in 1999 in the team of P. Gallinari. I am currently working since 2014 in the Qarma team at UMR CNRS LIF. I am member of the Pascal network of excellence. My research activities concern statistical machine learning with a special interest on sequential data and signals. I focused much of my work on statistical models for sequential data like Hidden Markov Models and Hidden Markov Trajectory Models, Dynamic Bayesian Networks, Hierarchical Hidden Markov Models, Probabilistic Grammars, Conditional Markov Random Fields
I'm involved in SABIOD concerning the large scale bioacoustic classification.

* Centre de Neurosciences Paris-Sud - UMR 8195 - Orsay (2 participants)

Pr. Olivier Adam

Équipe Communications Acoustiques

Prof O. Adam is with the Bioacoustics Team at the Centre de Neurosciences Paris Sud, Université Paris Sud Orsay. He is specialized in cetacean acoustic communications. He is involved on cetacean sound analysis since 2002: detection of sperm whales in Mediterranean Sea, localization of blue whales in the Austral Ocean, analysis of Humpback whale songs in the Indian Ocean, inventory of cetacean species in the French West Indies.
For the SABIOD project, O. Adam will be involved in the analysis of sounds emitted by cetacean species, to provide some information on their presences, on their behaviors and on their natural environments, possibly noised by human activities.

Research Director CNRS Thierry Aubin

Équipe Communications Acoustiques

Research Director Aubin is a world expert in signal processing for bioacoustics and ethology.

* Muséum National d'Histoire Naturelle - Paris (2 participants)

Associate Pr. Jérôme Sueur

UMR CNRS 7205 - Origine Structure et Évolution de la Biodiversité

My current research aims at producing biodiversity indices derived from the acoustic production of animal communities. My research within SABIOD consists in both producing important sets of recordings achieved in temperate and tropical habitats and in helping in signal and data analysis. I also share my expertise in animal sound communication (mainly in insects, amphibians, and birds) and my knowledge in animal sytematics and ecology.

Pr. Frédéric Jiguet

UMR CNRS 7204 - Conservation des espèces, Restauration et Suivi des Populations

* GIPSA-lab - UMR 5216 - Grenoble (3 participants)

Pr. Jérôme MARS

équipe SIGnal iMAge PHYsique

Jérôme Mars is a Professor with the Grenoble Institute of Technology - GIPSA-Lab and the leader of the image and signal processing department. His research interests deal with signal processing and applied geophysics, with a focus on wavefield separation using multidimensional methods, time-frequency and time-scale characterization of acoustic signals, ULF wave propagation.

Ph.D Cédric GERVAISE

SIGnal iMAge PHYsique Team

Cédric Gervaise is an Associate Researcher with the Grenoble Institute of Technology - GIPSA-Lab and co-founder of the Industrial Chair of Excellence CHORUS. His research focuses on developing signal processing techniques (such as time/frequency analysis, energy-based detectors, segmentation techniques) for the description of underwater soundscapes and the monitoring of marine ecosystems. Cédric frequently deploys autonomous acoustic recorders to collect data for his passive underwater acoustics research.

Associate Pr. Cornel IOANA

SIGnal iMAge PHYsique Team

Cornel Ioana is an Associate Professor-Researcher with the Grenoble Institute of Technology - GIPSA-Lab. His current research activities deal with non-stationary signal analysis and processing applied to the characterization of natural processes such as acoustic underwater signals, transient signals and ultrasound systems.

* DI ENS Ulm

Pr. Stéphane Mallat

Data Science Team, Paris

* Computational & Biological Learning Laboratory - New York University, USA (1 participant)

Pr. Yann LeCun

His Phd at Paris 6 university was entitled "Connexionist learning models" and introduced an early version of the back-propagation algorithm for gradient-based machine learning. In 1987, he joined Geoff Hinton's group at the University of Toronto as a research associate. He then joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, NJ in 1988. Shortly after AT&T's second breakup in 1996, he became head of the Image Processing Research Department, part of Larry Rabiner's Speech and Image Processing Research Lab at AT&T Labs-Research in Red Bank, NJ. In 2002, he became a Fellow of the NEC Research Institute (now NEC Labs America) in Princeton, NJ. He joined the Courant Institute of Mathematical Sciences at New York University as a Professor of Computer Science in 2003. Yann LeCun has been associate editor of PLoS ONE (2008-present), IJCV (2003-present), IEEE Trans. PAMI (2003-2005), Pattern Recognition and Applications, Machine Learning Journal (1996-1998), IEEE Transactions on Neural Networks (1990-1991). He is leading the Computational and and Biological Learning Lab at NYU and has been evolved in bioacoustic project with Cornell univ.

* Cornell Lab Of Ornithology - Cornell University, New York, USA (2 participants)

Pr. Christopher Clark

Christopher Clark is currently the Imogene P. Johnson Director for the Bioacoustics Research Program at the Cornell Lab of Ornithology, and a senior scientist at the Department of Neurobiology and Behavior at Cornell University, NY. He oversees and directs a vigorous, multidisciplinary program that is actively engaged in both basic and applied research. Dr. Clark is an expert in engineering design and implementation of automatic acoustic detection, classification, localization and tracking systems as applied to animal acoustic communication, behavioral ecology and quantifying potential risks to wildlife from anthropogenic activities. Projects include migratory bird monitoring on DOD installations, nicaloise effects on endangered bird species, rare bird monitoring, miniaturized radio tracking transmitters and advanced radio tracking receiver networks. His scientific conservation research on a variety of large whale species continues throughout the world's oceans.

Ing. Peter Dugan

Peter Dugan is currently the PI on the National Oceanic Partnership (NOPP) Grant focusing on detection, classification and localization of marine mammals. He received his PhD in Electrical Engineering and Combined behavioral biology from Binghamton University in NY. Prior to Cornell University he held positions in the industry in companies such as Hughes Link Flight Simulation and Lockheed Martin. He also has an extensive publication and patent portfolio showcasing advanced methodologies in machine learning for marine mammal vocalizations. His interests and motivations include the research and development of computationally intelligent systems, by combining traditional "shallow systems" with "deep learning systems" for object detection and classification in order to enhance system accuracy. The NOPP grant has been awarded 1M$ for the years 2012-2015. As the PI, his goal is to investigate new approaches and deliever comparative studies working on integrated teams representing Science, Technology, Engineering and Mathematics (STEM).

* Centro Interdisciplinare di Bioacustica e Ricerche Ambientali University of Pavia, Italy (2 participants)

Pr. Gianni Pavan

Pr Gianni Pavan is expert in bioacoustics. He created the CIBRA 15 years ago, a pilot lab in submarine and terrestrian soundscape analysis. He is NATO expert for submarine bioacoustic survey.

* Dept. Biology of Valencia College - USA (1 participant)

Ph.D Marie Trone

Marie Trone is Professor of biology in Valencia College, she is expert in dolphin physiology and bioacoustics.

* Locus Sonus École Supérieure d'Art d'Aix-en-Provence

Ph.D Peter Sinclair

* Département de Mathématiques appliquées - Paris 6

MS. Randall Balestriero

Randall is studying scattering for large scale bioacoustic representations.




Industrial Partners




* CYBERIO SA Grenoble, France (2 participants)

Ph.D Didier Mauuary

Didier Mauuary is director of Cyberio SA, expert in submarine acoustics and passive tracking, he innovates smart sensors and softwares for environmental survey.

MS. Morgan Charbonnier

Morgan is a Ing. in ecology and signal processing, evolved into bat tracking systems.

* NORTEK MED SA Toulon, France (2 participants)

Ing. André Dolle

André Dolle and his team develop solutions for long term submarine acoustics survey. He conducts with H. Glotin the monitoring of the off-shore building of the new road in La Reunion, Indian Ocean 2014-24.

Ing. Estelle Richard

Estelle is an Ing in oceanophysics and signal processing. She one of the actor in the Route du Littoral project.

* Dodotronic SA Italy (1 participant)

Ph.D Ivano Pelicella

Ivano is expert in high frequency sound card design for bioacoustics.

* NAUTA SA Italy (1 participant)

Ph.D Michele Manghi

Michele is expert in submarine and terrestrial acoustic systems.

* Cetacean Research SA Seattle, USA (1 participant)

Ph.D Joe Olson

Joe is expert in high frequency sound card design for bioacoustics.

* CeSigma La Garde, France

* Sermicro Madrid, Spain




Non-governmental organization




* Orcalab Hanson Island, Canada

Terre Marine Cap D'Agde, France




Past members




Pr. Laurent Besacier(2012-14)

Laboratoire d’Informatique de Grenoble, GETALP - Université J. Fourier, France

Pr. Elisabeth Murisasco(2012-14)

Dyni Team at Univ Toulon, France

Ph.D Xanadu Halkias(2012-14)

Dyni Team at Univ Toulon, France (2012-14), now expert in a patent office in New-York.

Xanadu Halkias received her PhD from the Electrical Engineering Department of Columbia University, NY. Her research focused on advanced signal processing and machine learning as it applies to bioacoustics. She is currently a post-doctorate fellow at the University of Toulon working on machine learning and specifically deep architectures and their applications.

Ph.D Regis Abeille (2012-13)

Dyni Team at Univ Toulon, France, now at the scientific police biometric department.

Phd student on the automatic acoustic estimation of the length of Physeter macrocephalus, he defended his Phd in dec. 2013.

Ph.D Delphine MATHIAS (2012-13)

SIGnal iMAge PHYsique Team

Delphine Mathias was a post-doctorate associate with the Grenoble Institute of Technology - GIPSA-Lab. Her research activities include the use of passive acoustics for the description of underwater soundscapes, and the detection, localization and classification of marine mammals. Delphine has an extensive field experience, ranging from autonomous acoustic recorders and bioacoustics tags deployments to whale’s photo identification and visual observation.