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2012 Vol.31, Issue 2 Preview Page
ARMA Filtering of Speech Features Using Energy Based Weights
Sung Min Ban1
,
Hyung Soon Kim1*
1School of Electrical Engineering, Pusan National University
*Corresponding Author
28 February 2012. pp. 87-92
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Abstract

In this paper, a robust feature compensation method to deal with the environmental mismatch is proposed. The proposed method applies energy based weights according to the degree of speech presence to the Mean subtraction, Variance normalization, and ARMA filtering (MVA) processing. The weights are further smoothed by the moving average and maximum filters. The proposed feature compensation algorithm is evaluated on AURORA 2 task and distant talking experiment using the robot platform, and we obtain error rate reduction of 14.4 % and 44.9 % by using the proposed algorithm comparing with MVA processing on AURORA 2 task and distant talking experiment, respectively.

Keywords
Feature compensation
Temporal modulation filter
ARMA filter
References
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Information
  • Publisher :The Acoustical Society of Korea
  • Publisher(Ko) :한국음향학회
  • Journal Title :The Journal of the Acoustical Society of Korea
  • Journal Title(Ko) :한국음향학회지
  • Volume : 31
  • No :2
  • Pages :87-92
  • Received Date : 2012-01-03
  • Accepted Date : 2012-02-06
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