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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).
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