Investigations of issues for using multiple acoustic models to improve continuous speech recognition

@inproceedings{Zhang2006InvestigationsOI,
  title={Investigations of issues for using multiple acoustic models to improve continuous speech recognition},
  author={Rong Zhang and Alexander I. Rudnicky},
  booktitle={INTERSPEECH},
  year={2006}
}
This paper investigates two important issues in constructing and combining ensembles of acoustic models for reducing recognition errors. First, we investigate the applicability of the AnyBoost algorithm for acoustic model training. AnyBoost is a generalized Boosting method that allows the use of an arbitrary loss function as the training criterion to construct ensemble of classifiers. We choose the MCE discriminative objective function for our experiments. Initial test results on a real-world… CONTINUE READING
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