Application of the variance compensation likelihood measure for robust hidden Markov model in noise

Kuo Chang Huang, Shin Lun Tung, Yau Tarng Juang

Research output: Contribution to journalArticlepeer-review

Abstract

This letter presents covariance matrix adaptation based upon the incorporation of the projection-based group delay scheme (PGDS) with a semi-continuous hidden Markov model (HMM) for the minimization of undesirable effects in noisy environments. The proposed approach fits the covariance matrix using a variance adaptive function to balance the mismatch between different environments.

Original languageEnglish
Pages (from-to)353-358
Number of pages6
JournalPattern Recognition Letters
Volume22
Issue number3-4
DOIs
StatePublished - Mar 2001

Keywords

  • Group delay scheme
  • Hidden Markov model
  • Mean compensation bias
  • Projection measure
  • Variance adaptive fuction

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