Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Fine-Grained Classroom Activity Detection from Audio with Neural
  Networks   Instructors are increasingly incorporating student-centered learning
techniques in their classrooms to improve learning outcomes. In addition to
lecture, these class sessions involve forms of individual and group work, and
greater rates of student-instructor interaction. Quantifying classroom activity
is a key element of accelerating the evaluation and refinement of innovative
teaching practices, but manual annotation does not scale. In this manuscript,
we present advances to the young application area of automatic classroom
activity detection from audio. Using a university classroom corpus with nine
activity labels (e.g., "lecture," "group work," "student question"), we propose
and evaluate deep fully connected, convolutional, and recurrent neural network
architectures, comparing the performance of mel-filterbank, OpenSmile, and
self-supervised acoustic features. We compare 9-way classification performance
with 5-way and 4-way simplifications of the task and assess two types of
generalization: (1) new class sessions from previously seen instructors, and
(2) previously unseen instructors. 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). When estimating the aggregate time spent on classroom activities,
our average root mean squared error is 1.64 minutes per class session, a 54.9%
relative reduction over the baseline.

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The categories of this paper are: hep-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
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The categories of this paper are: hep-th
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The categories of this paper are: physics
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The categories of this paper are: hep-ph
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The categories of this paper are: econ
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The categories of this paper are: solv-int
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The categories of this paper are: patt-sol
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The categories of this paper are: math-ph
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The categories of this paper are: q-fin
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: q-alg
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The categories of this paper are: q-bio