Discriminative analysis for feature reduction in automatic speech recognition

  • Authors:
  • E. L. Bocchieri;J. G. Wilpon

  • Affiliations:
  • AT&T Bell Laboratories, Murray Hill, New Jersey;AT&T Bell Laboratories, Murray Hill, New Jersey

  • Venue:
  • ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
  • Year:
  • 1992

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Abstract

This paper discusses a dimensionality reduction method of the frame feature space based on discriminative analysis. A significant dimensionality reduction is obtained without loss of recognition performance in speaker independent experiments on a variety of speech data bases. In addition, this procedure allows the selective incorporation of new feature components into an existing feature set.