Links Between Markov Models and Multilayer Perceptrons

@inproceedings{Bourlard1988LinksBM,
  title={Links Between Markov Models and Multilayer Perceptrons},
  author={Herv{\'e} Bourlard and Christian Wellekens},
  booktitle={NIPS},
  year={1988}
}
Hidden Markov models are widely used for automatic speech recognition. They inherently incorporate the sequential character of the speech signal and are statistically trained. However, the a-priori choice of the model topology limits their flexibility. Another drawback of these models is their weak discriminating power. Multilayer perceptrons are now promising tools in the connectionist approach for classification problems and have already been successfully tested on speech recognition problems… CONTINUE READING
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