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talk · 22 Sept · 09:33–09:45 · SAL A
Soundscape China: Listening to the Sounds of Nature with AI
Soundscape China is building a nationwide acoustic sensor network, database and AI models, gathering 3.6 million recordings in its first year.
Congtian Lin ↗
talk · 24 Sept · 14:15–14:30 · SAL C
Camtrap DP: extending data standard designed for camera trapping research to support AI workflows and new data sources
Camtrap DP fits data from any stationary sensor, and converging community feedback shows how to extend it for AI provenance and multimodal monitoring.
Karolina Kuczkowska ↗
talk · 25 Sept · 09:32–09:46 · SAL B
The Iterative Signal-Based System (ISBS): Structuring Bioacoustic Data for Interpretable Identification
Describing cetacean vocalisations with explicit descriptors and symbolic classification gives interpretable, taxonomy-like structure to bioacoustic data before large-scale AI.
Cyprien Pankowski ↗
talk · 25 Sept · 11:25–11:40 · SAL C
From sampling-event datasets to the Humboldt Extension: a TaiBIF assessment and pilots for long-term monitoring in Taiwan
Giving monitoring-data providers immediate site-level trend feedback, based on a minimal set of Humboldt terms, can motivate adoption better than asking for the full extension.
Jerome Chie-Jen Ko ↗