Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Experiments on Open-Set Speaker Identification with Discriminatively
  Trained Neural Networks   This paper presents a study on discriminative artificial neural network
classifiers in the context of open-set speaker identification. Both 2-class and
multi-class architectures are tested against the conventional Gaussian mixture
model based classifier on enrolled speaker sets of different sizes. The
performance evaluation shows that the multi-class neural network system has
superior performance for large population sizes.

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The categories of this paper are: atom-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: math-ph
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: q-bio
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The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
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The categories of this paper are: funct-an
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The categories of this paper are: cmp-lg
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The categories of this paper are: comp-gas