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Bat call detection uses BatDetect2, a fully-convolutional neural network with self-attention, trained on 17 UK bat species and applied here for detection only (species classification uses separate Tucson-tuned heuristic profiles).
Citation: Mac Aodha O, et al. "Towards a General Approach for Bat Echolocation Detection and Classification." bioRxiv (2022). doi:10.1101/2022.12.14.520490
Claude was instructed to use Sonic Visualiser as a reference for the UI design. Sonic Visualiser is an open-source application for viewing, analysing, and annotating audio files, developed at the Centre for Digital Music, Queen Mary University of London.
Citation: Cannam C, Landone C, Sandler M. "Sonic Visualiser: An Open Source Application for Viewing, Analysing, and Annotating Music Audio Files." Proceedings of the 18th ACM International Conference on Multimedia (2010). doi:10.1145/1873951.1874248
Recorded 2025-05-28 at 19:42, Campbell Ave bridge over the Rillito River, Tucson AZ, USA. Zoom F3 field recorder. 192 kHz / 32-bit stereo FLAC, 21 min 2 sec.
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