Patents by Inventor Stephen C. Glinski

Stephen C. Glinski 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).

  • Patent number: 7496515
    Abstract: Merged “grammars” derived from statistical indicators (e.g., N-grams and cohorts) are used to enable speech-based, Internet searches.
    Type: Grant
    Filed: July 26, 2005
    Date of Patent: February 24, 2009
    Assignee: Avaya, Inc.
    Inventors: Stephen C. Glinski, Michael K. Brown
  • Patent number: 6934675
    Abstract: Merged “grammars” derived from statistical indicators (e.g., N-grams and cohorts) are used to enable speech-based, Internet searches.
    Type: Grant
    Filed: June 14, 2001
    Date of Patent: August 23, 2005
    Inventors: Stephen C. Glinski, Michael K. Brown
  • Publication number: 20020194004
    Abstract: Merged “grammars” derived from statistical indicators (e.g., N-grams and cohorts) are used to enable speech-based, Internet searches.
    Type: Application
    Filed: June 14, 2001
    Publication date: December 19, 2002
    Inventors: Stephen C. Glinski, Michael K. Brown
  • Patent number: 6044346
    Abstract: A system and method for operating a digital voice recognition processor with a non-volatile flash memory unit as the primary storage medium utilizes a wandering buffer scheme to reduce the number of memory writes performed to any portion of the flash memory unit during training and recognition operations, thereby reducing the incidence of the flash burnout effect.
    Type: Grant
    Filed: March 9, 1998
    Date of Patent: March 28, 2000
    Assignee: Lucent Technologies Inc.
    Inventors: Syed S. Ali, Stephen C. Glinski
  • Patent number: 5559897
    Abstract: Methods and systems for performing handwriting recognition which include, in part, application of stochastic modeling techniques in conjunction with language modeling. Handwriting recognition is performed on a received data set, which is representative of a handwriting sample comprised of one or more symbols. Recognition is performed by representing the data set as a sequence of features and then processing the features utilizing stochastic modeling in conjunction with an evolutional grammer for performing stroke identification, to identify the handwriting sample.
    Type: Grant
    Filed: August 15, 1994
    Date of Patent: September 24, 1996
    Assignee: Lucent Technologies Inc.
    Inventors: Michael K. Brown, Stephen C. Glinski, Jianying Hu, William Turin
  • Patent number: 4783809
    Abstract: A speech recognizer identifies an unknown utterance as a variable length string of stored reference patterns in a single pass through the time frame sequence of utterance feature signals. A plurality of reference pattern levels are used to permit strings of varying lengths. As each utterance time frame portion is received, its acoustic feature signals are time registered with the reference pattern feature signals at each reference pattern level to form reference pattern endframe registration path and registration path correspondence signals. Responsive to the plurality of level reference pattern end frame registration path signals, reference pattern strings are selected for the current utterance frame. The utterance is identified as the selected reference string with the best correspondence to the utterance from the registration path signals of the reference levels of the last utterance time frame.
    Type: Grant
    Filed: November 7, 1984
    Date of Patent: November 8, 1988
    Assignee: American Telephone and Telegraph Company, AT&T Bell Laboratories
    Inventor: Stephen C. Glinski