A minimum classification error based distance measure for template based speech recognition

@inproceedings{Matton2008AMC,
  title={A minimum classification error based distance measure for template based speech recognition},
  author={Mike Matton and Dirk Van Compernolle and Ronald Cools},
  booktitle={INTERSPEECH},
  year={2008}
}
In this paper we investigate the minimum classification error (MCE) criterion for the training of distance measures for template based speech recognition. These MCE-based distance measures are illustrated with example experiments on the Wall Street Journal 5k benchmark for continuous speech recognition.