Principal funding codes: 5118 - Department of Economy, Science and Innovation
Acronym: SoundLib2
Period: February 2024 till August 2025
Status: Completed
Thesaurus terms ANE, North Sea; Artificial intelligence; Belgium; Learning (Artificial intelligence); Machine learning; Marine ecology; Sound sources; Sound sources; Underwater acoustics; Underwater acoustics; Underwater ambient noise; Underwater noise; Underwater noise & sound; Underwater sound
|
|
- Vlaams Instituut voor de Zee (VLIZ), more, co-ordinator
- Debusschere, Elisabeth, co-ordinator, project leader
- Parcerisas, Clea, data creator
- Vanhoorne, Bart, it-leader
- Aubach, Julia
- Cunha Mendes, Jorge
- Cuyx, Bram
- Regel, Franziska
- Lamote, Milan
|
SoundLib will develop a cost-effective, flexible and scalable prototype and data architecture for an open library where individual annotated sound segments from the marine environment are made available. A strategy for collecting sound events will be defines and AI methods will be investigated for automatic processing of sound signals. Additional field measurements will be conducted on specific sound sources to feed into the underwater library. |
- Calonge, A.; Develter, R.; Muñiz, C.; Parcerisas, C.; Reubens, J.; Boone, W.; Deneudt, K.; Debusschere, E. (2026). Scalable low-cost seabed landers: The missing link for sustained, integrated, long-term observations in dynamic shallow seas. Remote Sensing in Ecology and Conservation Online first: 1-9. https://dx.doi.org/10.1002/rse2.70072, more
|
|
