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Development of an underwater sound library for AI applications (Soundlib prototype)
https://www.vliz.be/en/news/ai-underwater-noise-library-should-ensure-safety-offshore-infrastructure-and-stimulate-new
Acronym: SoundLib2
Period: February 2024 till February 2025
Status: In Progress

Thesaurus terms: Artificial intelligence; Learning (Artificial intelligence); Machine learning; PRINC_FUND - 5118 - Department of Economy, Science and Innovation; Sound sources; Sound sources; Underwater acoustics; Underwater acoustics; Underwater ambient noise; Underwater noise; Underwater noise & sound; Underwater sound
Geographical terms: ANE, Belgium [Marine Regions]; ANE, North Sea [Marine Regions]; Belgian part of the North Sea [Marine Regions]
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Abstract

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. 

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