7 A General Approximation-Optimization Approach to Large Margin Estimation of HMMs

@inproceedings{Jiang20077AG,
  title={7 A General Approximation-Optimization Approach to Large Margin Estimation of HMMs},
  author={Hui Jiang and Xinwei Li},
  year={2007}
}
The most successful modeling approach to automatic speech recognition (ASR) is to use a set of hidden Markov models (HMMs) as the acoustic models for subword or whole-word speech units and to use the statistical N-gram model as language model for words and/or word classes in sentences. All the model parameters, including HMMs and N-gram models, are estimated from a large amount of training data according to certain criterion. It has been shown that success of this kind of data-driven modeling… CONTINUE READING

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