OpenWhistle: A Large-Scale Longitudinal Dataset and Benchmark of Bottlenose Dolphin Vocalizations

arXiv:2609.34839 · cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.CL

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Benchmark — 19× in this paper · explained in 2 episodes
• Signature Whistles — 16× in this paper
• Core — 5× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Linear probe — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Self-Supervised Learning — 3× in this paper · explained in 7 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Few-Shot Learning — 2× in this paper · explained in 4 episodes
• Linear Probing — 2× in this paper · explained in 2 episodes
• Signal-to-noise ratio (SNR) — 2× in this paper · explained in 2 episodes
• Standardized Benchmarks — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• AVES: Animal Vocalization Encoder based on Self-Supervision
• Mixed Precision Training
• Biodenoising: Animal Vocalization Denoising without Access to Clean Data
• Few-shot bioacoustic event detection at the DCASE 2022 challenge
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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