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Thanks for sharing these resources and your story! I followed a very similar path, and ended up doing a biodiversity related MSc, with my dissertation being a custom classifier for poorly detected species in Príncipe. BirdNET and Perch are phenomenal achievements, but struggle in regions where, ironically, most of the world’s biodiversity is. What you’re doing for Rwandan species is so important!!
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Do you think the same could be used for other cases? I'm thinking about detecting problems with cars (vehicles) just by the noise they make
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How far has your thinking taken you? This has piqued my interest on how many fields audio can be used to solve problems
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