Improved speech recognition using a subspace projection approach

Philipos C. Loizou, Andreas S. Spanias

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Two class-separability criteria based on the divergence measure are proposed to improve speech recognition performance. The average and weighted average divergence measures are used as criteria for finding a transformation matrix which maps the original features into a more discriminative subspace. Results are presented for a highly confusable task.

Original languageEnglish (US)
Pages (from-to)343-345
Number of pages3
JournalIEEE Transactions on Speech and Audio Processing
Issue number3
StatePublished - 1999
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Acoustics and Ultrasonics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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