Patents Examined by Michael N. Opsasneck
  • Nongaussian density estimation for the classification of acoustic feature vectors in speech recognition
    Patent number: 6269334
    Abstract: A statistical modeling paradigm for automatic machine recognition of speech uses mixtures of nongaussion statistical probability densities which provides improved recognition accuracy. Speech is modeled by building probability densities from functions of the form exp(−t&agr;/2) for t≧0 and &agr;>0. Mixture components are constructed from different univariate functions. The mixture model is used in a maximum likelihood model of speech data.
    Type: Grant
    Filed: June 25, 1998
    Date of Patent: July 31, 2001
    Assignee: International Business Machines Corporation
    Inventors: Sankar Basu, Charles A. Micchelli