Researchers have curated the largest dataset of Southern Resident Killer Whale (SRKW) acoustic data using a positive-unlabelled active learning approach, including over 30 years of audio recordings from various marine mammals. This dataset outperforms existing models in accuracy and energy efficiency, making it valuable for unsupervised machine translation, habitat usage surveys, and conservation efforts for endangered species.
Read the full article at arXiv cs.LG (ML)
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