A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
Rabiner, 1989, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition (Proceedings of the IEEE)
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IV.E Optimization criterion
- What is the MMI alternative to maximum likelihood training?Maximum mutual information: design all word models together to maximize their discrimination power, i.e. each model’s ability to distinguish sequences from its own class from those of competing models, rather than fitting each model separately.
- Rabiner, 1989, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition (Proceedings of the IEEE), IV.E Optimization criterion
Source
- Lawrence R. Rabiner. 1989. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. In Proceedings of the IEEE, pp. 257–286. doi:10.1109/5.18626