Minimum classification error rate pattern recognition approach for speech and language processing

@article{Chou2004MinimumCE,
  title={Minimum classification error rate pattern recognition approach for speech and language processing},
  author={Wu Chou},
  journal={2004 International Symposium on Chinese Spoken Language Processing},
  year={2004},
  pages={T-1}
}
Summary form only given. Minimum classification error (MCE) rate pattern recognition approach is a fast moving research area and broadly applied to pattern recognition problems in speech and language processing. We give an overview of the basic MCE classifier design algorithms as well as the more advanced extensions of the MCE approach. We differentiate the… CONTINUE READING