Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Overlap-aware diarization: resegmentation using neural end-to-end
  overlapped speech detection   We address the problem of effectively handling overlapping speech in a
diarization system. First, we detail a neural Long Short-Term Memory-based
architecture for overlap detection. Secondly, detected overlap regions are
exploited in conjunction with a frame-level speaker posterior matrix to make
two-speaker assignments for overlapped frames in the resegmentation step. The
overlap detection module achieves state-of-the-art performance on the AMI,
DIHARD, and ETAPE corpora. We apply overlap-aware resegmentation on AMI,
resulting in a 20% relative DER reduction over the baseline system. While this
approach is by no means an end-all solution to overlap-aware diarization, it
reveals promising directions for handling overlap.

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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ph
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The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
3
The categories of this paper are: physics
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The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc
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The categories of this paper are: stat
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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: mtrl-th
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The categories of this paper are: econ
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The categories of this paper are: dg-ga
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The categories of this paper are: bayes-an