REMAP-experiments with speech recognition

@inproceedings{Konig1996REMAPexperimentsWS,
  title={REMAP-experiments with speech recognition},
  author={Yochai Konig and Herv{\'e} Bourlard and Nelson Morgan},
  booktitle={ICASSP},
  year={1996}
}
In this report we present experimental and theoretical results using a framework for training and modeling continuous speech recognition systems based on the theoretically optimal Maximum a Posteriori (MAP) criterion. This is in constrast to most state-of-the-art systems which are trained according to a Maximum Likelihood (ML) criterion. Although the algorithm is quite general, we applied it to a particular form of hybrid system combining Hidden Markov Models (HMMs) and Artificial Neural… CONTINUE READING
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