Kieran Gibb

The paper improves species detection in soundscape recordings by modifying VAEs to model temporal shift-invariance, enhancing accuracy and interpretability compared to existing methods.

This paper develops a variational auto-encoder to learn interpretable acoustic features from ecoacoustic data and demonstrates its ability to infer habitat degradation levels.