The authors report that a Word2Vec-style model on K-means spectrogram tokens classifies BirdCLEF+ 2025 soundscapes in about 6 minutes, reaching a public ROC-AUC of 0.559, far below transfer-learning baselines.
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Distilling Spectrograms into Tokens: Fast and Lightweight Bioacoustic Classification for BirdCLEF+ 2025
The authors report that a Word2Vec-style model on K-means spectrogram tokens classifies BirdCLEF+ 2025 soundscapes in about 6 minutes, reaching a public ROC-AUC of 0.559, far below transfer-learning baselines.