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Self-Teaching AI Untangles Critically Endangered Gibbon Calls From
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Self-Teaching AI Untangles Critically Endangered Gibbon Calls From
Researchers developed MC-RemixIT, a self-supervised AI framework that separates Hainan gibbon calls from complex rainforest noise without clean reference recordings and improved downstream call detection accuracy by up to roughly ten percentage points.
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