Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition

@inproceedings{Peng1995BayesianII,
  title={Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition},
  author={Fengchun Peng and Robert A. Jacobs and Martin A. Tanner},
  year={1995}
}
Machine classi cation of acoustic waveforms as speech events is often di cult due to context-dependencies. A vowel recognition task with multiple speakers is studied in this paper via the use of a class of modular and hierarchical systems referred to as mixtures-of-experts and hierarchical mixtures-of-experts models. The statistical model underlying the systems is a mixture model in which both the mixture coe cients and the mixture components are generalized linear models. A full Bayesian… CONTINUE READING
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Bayesian inference in mixtures-of-experts

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