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Few-shot bioacoustic event detection consists in detecting sound events ofspecified types, in varying soundscapes, while having access to only a fewexamples of the class of interest. This task ran as part of the DCASE challengefor the third time this year with an evaluation set expanded to include newanimal species, and a new rule: ensemble models were no longer allowed. The2023 few shot task received submissions from 6 different teams with F-scoresreaching as high as 63% on the evaluation set. Here we describe the task,focusing on describing the elements that differed from previous years. We alsotake a look back at past editions to describe how the task has evolved. Notonly have the F-score results steadily improved (40% to 60% to 63%), but thetype of systems proposed have also become more complex. Sound event detectionsystems are no longer simple variations of the baselines provided: multiplefew-shot learning methodologies are still strong contenders for the task.

Few-shot bioacoustic event detection at the DCASE 2023 challenge