Patents by Inventor Stefan Sherwood

Stefan Sherwood 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).

  • Non-interactive enrollment in speech recognition
    Patent number: 6424943
    Abstract: A computer enrolls a user in a speech recognition system by obtaining data representing a user's speech, the speech including multiple user utterances and generally corresponding to an enrollment text, and analyzing acoustic content of data corresponding to a user utterance. The computer determines, based on the analysis, whether the user utterance matches a portion of the enrollment text. If so, the computer uses the acoustic content of the user utterance to update acoustic models corresponding to the portion of the enrollment text. The computer may determine that the user utterance matches a portion of the enrollment text even when the user has skipped or repeated words of the enrollment text.
    Type: Grant
    Filed: July 24, 2000
    Date of Patent: July 23, 2002
    Assignee: Scansoft, Inc.
    Inventors: Stefan Sherwood, David Wilsberg Parmenter, Joel M. Gould, Toffee A. Albina, Allan Gold
  • Enrollment in speech recognition
    Patent number: 6212498
    Abstract: Enrolling a user in a speech recognition system includes analyzing acoustic content of a user utterance and determining whether the utterance matches a portion of an enrollment text. If the user utterance matches a portion of the enrollment text, the acoustic content is used to update acoustic models corresponding to the portion of the enrollment text.
    Type: Grant
    Filed: March 28, 1997
    Date of Patent: April 3, 2001
    Assignee: Dragon Systems, Inc.
    Inventors: Stefan Sherwood, Toffee A. Albina, David E. Wald, Noah M. Graham, Joel Gould, Francesco Scattone
  • Non-interactive enrollment in speech recognition
    Patent number: 6163768
    Abstract: A computer enrolls a user in a speech recognition system by obtaining data representing a user's speech, the speech including multiple user utterances and generally corresponding to an enrollment text, and analyzing acoustic content of data corresponding to a user utterance. The computer determines, based on the analysis, whether the user utterance matches a portion of the enrollment text. If so, the computer uses the acoustic content of the user utterance to update acoustic models corresponding to the portion of the enrollment text. The computer may determine that the user utterance matches a portion of the enrollment text even when the user has skipped or repeated words of the enrollment text.
    Type: Grant
    Filed: June 15, 1998
    Date of Patent: December 19, 2000
    Assignee: Dragon Systems, Inc.
    Inventors: Stefan Sherwood, David Wilsberg Parmenter, Joel M. Gould, Toffee A. Albina, Allan Gold