Patents by Inventor Eugene Jon

Eugene Jon has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Probability density function compensation method for hidden markov model and speech recognition method and apparatus using the same
    Patent number: 8140333
    Abstract: A probability density function compensation method used for a continuous hidden Markov model and a speech recognition method and apparatus, the probability density function compensation method including extracting feature vectors from speech signals, and using the extracted feature vectors, training a model having a plurality of probability density functions to increase probabilities of recognizing the speech signals; obtaining a global variance by averaging variances of the plurality of the probability density functions after completing the training; obtaining a compensation factor using the global variance; and applying the global variance to each of the probability density functions and compensating each of the probability density functions for the global variance using the compensation factor.
    Type: Grant
    Filed: February 28, 2005
    Date of Patent: March 20, 2012
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Icksang Han, Sangbae Jeong, Eugene Jon
  • Probability density function compensation method for hidden markov model and speech recognition method and apparatus using the same
    Publication number: 20050192806
    Abstract: A probability density function compensation method used for a continuous hidden Markov model and a speech recognition method and apparatus, the probability density function compensation method including extracting feature vectors from speech signals, and using the extracted feature vectors, training a model having a plurality of probability density functions to increase probabilities of recognizing the speech signals; obtaining a global variance by averaging variances of the plurality of the probability density functions after completing the training; obtaining a compensation factor using the global variance; and applying the global variance to each of the probability density functions and compensating each of the probability density functions for the global variance using the compensation factor.
    Type: Application
    Filed: February 28, 2005
    Publication date: September 1, 2005
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Icksang Han, Sangbae Jeong, Eugene Jon