Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhancing speaker identification performance under the shouted talking
  condition using second-order circular hidden Markov models   It is known that the performance of speaker identification systems is high
under the neutral talking condition; however, the performance deteriorates
under the shouted talking condition. In this paper, second-order circular
hidden Markov models (CHMM2s) have been proposed and implemented to enhance the
performance of isolated-word text-dependent speaker identification systems
under the shouted talking condition. Our results show that CHMM2s significantly
improve speaker identification performance under such a condition compared to
the first-order left-to-right hidden Markov models (LTRHMM1s), second-order
left-to-right hidden Markov models (LTRHMM2s), and the first-order circular
hidden Markov models (CHMM1s). Under the shouted talking condition, our results
show that the average speaker identification performance is 23% based on
LTRHMM1s, 59% based on LTRHMM2s, and 60% based on CHMM1s. On the other hand,
the average speaker identification performance under the same talking condition
based on CHMM2s is 72%.

31
The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
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The categories of this paper are: q-fin
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The categories of this paper are: acc-phys
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The categories of this paper are: math-ph
6
The categories of this paper are: astro-ph
3
The categories of this paper are: physics
18
The categories of this paper are: econ
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The categories of this paper are: stat
9
The categories of this paper are: nlin
8
The categories of this paper are: hep-ex
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The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math