No Free Lunch from Audio Pretraining in Bioacoustics: A Benchmark Study of Embeddings

Benchmark audio embeddings of 11 pre-trained deep learning models (IJCNN 2025 Poster)

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
beans		beans
DA of Latent UMAP v2.ipynb		DA of Latent UMAP v2.ipynb
DA of Latent UMAP v3-loop-loop.ipynb		DA of Latent UMAP v3-loop-loop.ipynb
DA of Latent tSNE v3-loop.ipynb		DA of Latent tSNE v3-loop.ipynb
Fig3_NER_SU_Batch_M1_only_good4time.ipynb		Fig3_NER_SU_Batch_M1_only_good4time.ipynb
Fig3_NER_SU_Batch_PMd_only_good4time.ipynb		Fig3_NER_SU_Batch_PMd_only_good4time.ipynb
Fig3_self_train_3D_4models_M1.ipynb		Fig3_self_train_3D_4models_M1.ipynb
Fig3_self_train_3D_4models_PMd.ipynb		Fig3_self_train_3D_4models_PMd.ipynb
Fig4_Batch_self_cross_decode.ipynb		Fig4_Batch_self_cross_decode.ipynb
Fig4_self_cross_decode_matrix_M1_Both.ipynb		Fig4_self_cross_decode_matrix_M1_Both.ipynb
IJCNN 2025 Reviews.pdf		IJCNN 2025 Reviews.pdf
IJCNN AC.JPG		IJCNN AC.JPG
IJCNN July5th poster#5A.JPG		IJCNN July5th poster#5A.JPG
README.md		README.md
run_benchmark.py		run_benchmark.py

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