On Naive Bayes in Speech Recognition

@inproceedings{Tth2004OnNB,
  title={On Naive Bayes in Speech Recognition},
  author={L{\'a}szl{\'o} T{\'o}th and Andr{\'a}s Kocsor},
  year={2004}
}
The currently dominant speech recognition technology, hid den Markov modeling, has long been criticized for its simplistic assumpti ons about speech, and especially for the naive Bayes combination rule inherent in it. M any sophisticated alternative models have been suggested over the last decade. These, howe ver, have demonstrated only modest improvements and brought no paradigm shift in te chnology. The goal of this paper is to examine why HMM performs so well in spite of it s incorrect bias… CONTINUE READING
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