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Combined quantized and continuous feature vector HMM approach to speech recognition

  • US 6,434,522 B1
  • Filed: 05/28/1997
  • Issued: 08/13/2002
  • Est. Priority Date: 06/18/1992
  • Status: Expired due to Fees
First Claim
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1. An HMM generator, comprising:

  • vector quantizing means for generating a model by quantizing vectors of a training pattern having a vector series, and converting said quantizing vectors into a label series of clusters to which they belong, continuous probability distribution density HMM generating means for generating a continuous probability distribution density HMM from a quantized vector series corresponding to each label of said label series of clusters, and label incidence calculating means for calculating the incidence of the labels in each state from said quantizing vectors of a training pattern classified in the same label series of clusters and the continuous probability distribution density HMM.

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