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Found 2 papers, 1 papers with code
Fine-Grained Classroom Activity Detection from Audio with Neural Networks
We obtain strong results on the new fine-grained task and state-of-the-art on the 4-way task: our best model obtains frame-level error rates of 6. 2%, 7. 7% and 28. 0% when generalizing to unseen instructors for the 4-way, 5-way, and 9-way classification tasks, respectively (relative reductions of 35. 4%, 48. 3% and 21. 6% over a strong baseline).
Proposal-based Few-shot Sound Event Detection for Speech and Environmental Sounds with Perceivers
Many applications involve detecting and localizing specific sound events within long, untrimmed documents, including keyword spotting, medical observation, and bioacoustic monitoring for conservation.
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