Dolph2Vec is the first species-specific self-supervised model for dolphin vocalizations, trained on longitudinal recordings from five dolphins, that outperforms general baselines on signature whistle classification and detection while producing embeddings aligned with known whistle categories.
Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa Gill, and Dan Stowell
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Bacpipe is a modular Python package that integrates state-of-the-art bioacoustic deep learning models to generate embeddings, classifier predictions, and evaluation pipelines for custom audio data.
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Dolph2Vec: Self-Supervised Representations of Dolphin Vocalizations
Dolph2Vec is the first species-specific self-supervised model for dolphin vocalizations, trained on longitudinal recordings from five dolphins, that outperforms general baselines on signature whistle classification and detection while producing embeddings aligned with known whistle categories.
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bacpipe: a Python package to make bioacoustic deep learning models accessible
Bacpipe is a modular Python package that integrates state-of-the-art bioacoustic deep learning models to generate embeddings, classifier predictions, and evaluation pipelines for custom audio data.