Automated pipeline aids rare bird call classification

Researchers have developed an automated pipeline for classifying bird calls, specifically focusing on rare species with limited available data. This system utilizes the embedding space of existing large bird classification networks and employs cosine similarity for detection. The pipeline includes preprocessing techniques for filtering and denoising to optimize classification with minimal training examples. In a case study, the system achieved 1.0 recall and 0.95 accuracy in detecting the critically endangered tooth-billed pigeon, providing a practical tool for conservation efforts. AI

IMPACT Provides a practical tool for conservationists to monitor endangered species using AI.

RANK_REASON The item is a research paper detailing a new methodology for a specific AI task. [lever_c_demoted from research: ic=1 ai=1.0]

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• Abhishek Jana
• alphaXiv
• arXiv
• BirdNET
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• IArxiv
• ScienceCast
• Tooth-billed Pigeon
• Xeno-Canto

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