This research group is one of 40 french AI Chair, delivered in 2020 to H. Glotin. It is focused on bioacoustics and ADvanced underSea Intelligent Listening (ADSIL). It aims to tackle Passive Acoustic Monitoring, Acoustic Recognition, Machine listening, Deep Learning, Inversion, Wavelet learning… It addresses distributed processing and IoT / network communications to survey biodiversity and complex soundscapes.
The Chair is divided in 3 main tasks :
T1. Direct Modelisation Inverse Problem, HPC, Data Augmentation, Deep Learning
T2. Joint Classification & Localisation, Propagation of biophony or geophony
T3. Distributed Artificial Intelligence, network of Autonomous Vehicle, sonobuoy
T1. Direct Modelisation Inverse Problem, HPC, Data Augmentation, Deep Learning
- Biosonar
- Classification of voicings
- Maximisation of observation for classification & localisation
T2. Joint Classification & Localisation, Propagation of biophony or geophony
- Biosonar
- Classification of voicings
- AI & propagation, Explanable IA
- Maximisation of observation for classification & localisation
T3. Distributed Artificial Intelligence, network of Autonomous Vehicle, sonobuoy
- Biosonar
- AI & propagation, Explanable IA
- IA online, network IoT / Embedded IA
- Maximisation of observation for classification & localisation
Biosonar
Classification of voicings
AI & propagation, Explanable IA
IA online, network IoT / Embedded IA
Maximisation of observation for classification & localisation
Biosonar
- Classification of biosonar
- Matching pursuit and 3D tracking of biosonar
- Study of the strategy of groups of biosonar hunters
- Long survey of hunters
- Bio-multistatism
- Individual signatures
- Ecosystem and Bioacoustics
Classification of voicings
- Individual call tracking, applied to Orca and others
- Whale songs and evolution
- Source separations, dialect
- Individual signatures
- HF and LF voiced pulse classification
AI & propagation, Explanable IA
- Propagation & DNN / GPU RTX
- Stream modelisation, multiscale forecastin
IA online, network IoT / Embedded IA
- Online Bombyx2
- Online KM3
- Online Orcalab
- Embedded AI
- Ultra-low-power for listening
Maximisation of observation for classification & localisation
- Network of sensors (Bombyx sonobuoys, Sphyrnas ASV, KM3Env astrophysical observatory)
- Network of fixed stations (Carimam, Orcalab)
- Optimization with 3D acoustic serious games
This Project is granted by Agence nationale de la recherche, Direction Générale des Armées and
Agence de l’innovation de défense
LIS UMR 7020 CNRS / AMU / UTLN
Université de Toulon – Campus de La Garde – Bat X
CS 60584
83041 Toulon Cedex 9
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Tel : +33 (0)4 94 14 28 33