Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep segmental phonetic posterior-grams based discovery of
  non-categories in L2 English speech   Second language (L2) speech is often labeled with the native, phone
categories. However, in many cases, it is difficult to decide on a categorical
phone that an L2 segment belongs to. These segments are regarded as
non-categories. Most existing approaches for Mispronunciation Detection and
Diagnosis (MDD) are only concerned with categorical errors, i.e. a phone
category is inserted, deleted or substituted by another. However,
non-categorical errors are not considered. To model these non-categorical
errors, this work aims at exploring non-categorical patterns to extend the
categorical phone set. We apply a phonetic segment classifier to generate
segmental phonetic posterior-grams (SPPGs) to represent phone segment-level
information. And then we explore the non-categories by looking for the SPPGs
with more than one peak. Compared with the baseline system, this approach
explores more non-categorical patterns, and also perceptual experimental
results show that the explored non-categories are more accurate with increased
confusion degree by 7.3% and 7.5% under two different measures. Finally, we
preliminarily analyze the reason behind those non-categories.

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The categories of this paper are: physics
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The categories of this paper are: comp-gas
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The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: nucl-th
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The categories of this paper are: solv-int
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The categories of this paper are: math
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The categories of this paper are: mtrl-th
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The categories of this paper are: stat
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The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: q-alg