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Found 4 papers, 3 papers with code
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
A recent development in the field is the introduction of the task known as few-shot bioacoustic sound event detection, which aims to train a versatile animal sound detector using only a small set of audio samples.
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation
Our findings revealed that the distilled models exhibited comparable performance to the EcoVAD teacher model, indicating a promising approach to overcoming computational barriers for real-time ecological monitoring.
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
With the advent of deep learning models, classification of important signals from these datasets has markedly improved.
Few-shot bioacoustic event detection at the DCASE 2023 challenge
Few-shot bioacoustic event detection consists in detecting sound events of specified types, in varying soundscapes, while having access to only a few examples of the class of interest.
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