Patents by Inventor Horacio E. Franco

Horacio E. Franco 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: 7016849
    Abstract: An apparatus and a concomitant method for speech recognition. In one embodiment, a distributed speech recognition system provides speech-driven control and remote service access. The distributed speech recognition system comprises a client device and a central server, where the client device is equipped with two speech recognition modules: a foreground speech recognizer and a background speech recognizer. The foreground speech recognizer is implementing a particular spoken language application (SLA) to handle a particular task, whereas the background speech recognizer is monitoring a change in the topic and/or a change in the intent of the user. Upon detection of a change in topic or intent of the user, the background speech recognizer will effect the routing to a new SLA to address the new topic or intent.
    Type: Grant
    Filed: March 25, 2002
    Date of Patent: March 21, 2006
    Assignee: SRI International
    Inventors: James F. Arnold, Horacio E. Franco, David J. Israel
  • Patent number: 7013275
    Abstract: An apparatus and a concomitant method for speech recognition. In one embodiment, a distributed speech recognition system provides speech-driven control and remote service access. The distributed speech recognition system comprises a client device and a central server.
    Type: Grant
    Filed: December 28, 2001
    Date of Patent: March 14, 2006
    Assignee: SRI International
    Inventors: James F. Arnold, Horacio E. Franco, David J. Israel, Christopher Culy
  • Patent number: 6996519
    Abstract: A method and apparatus for performing speech recognition using observable relationships between words. Results from a speech recognition pass can be combined with information about the observable word relationships to constrain or simplify subsequent recognition passes. This iterative process greatly reduces the search space required for each recognition pass, making the speech recognition process more efficient, faster and accurate.
    Type: Grant
    Filed: September 28, 2001
    Date of Patent: February 7, 2006
    Assignee: SRI International
    Inventors: Horacio E. Franco, David J. Israel, Gregory K. Myers
  • Publication number: 20030182131
    Abstract: An apparatus and a concomitant method for speech recognition. In one embodiment, a distributed speech recognition system provides speech-driven control and remote service access. The distributed speech recognition system comprises a client device and a central server, where the client device is equipped with two speech recognition modules: a foreground speech recognizer and a background speech recognizer. The foreground speech recognizer is implementing a particular spoken language application (SLA) to handle a particular task, whereas the background speech recognizer is monitoring a change in the topic and/or a change in the intent of the user. Upon detection of a change in topic or intent of the user, the background speech recognizer will effect the routing to a new SLA to address the new topic or intent.
    Type: Application
    Filed: March 25, 2002
    Publication date: September 25, 2003
    Inventors: James F. Arnold, Horacio E. Franco, David J. Israel
  • Publication number: 20030125955
    Abstract: An apparatus and a concomitant method for speech recognition. In one embodiment, a distributed speech recognition system provides speech-driven control and remote service access. The distributed speech recognition system comprises a client device and a central server.
    Type: Application
    Filed: December 28, 2001
    Publication date: July 3, 2003
    Inventors: James F. Arnold, Horacio E. Franco, David J. Israel, Christopher Culy
  • Publication number: 20030065511
    Abstract: A method and apparatus for performing speech recognition using observable relationships between words. Results from a speech recognition pass can be combined with information about the observable word relationships to constrain or simplify subsequent recognition passes. This iterative process greatly reduces the search space required for each recognition pass, making the speech recognition process more efficient, faster and accurate.
    Type: Application
    Filed: September 28, 2001
    Publication date: April 3, 2003
    Inventors: Horacio E. Franco, David J. Israel, Gregory K. Myers
  • Publication number: 20030004722
    Abstract: A method of speech recognition that uses hierarchical data structures that include a top level grammar and various related subgrammars, such as word, phone, and state subgrammars. A speech signal is acquired, and a probabilistic search is performed using the speech signal as an input, and using the (unexpanded) grammars and subgrammars as possible inputs. Memory is allocated to a subgrammar when a transition to that subgrammar is made during the probabilistic search. The subgrammar may then be expanded and evaluated, and the probability of a match between the speech signal and an element of the subgrammar for which memory has been allocated may be computed. Because unexpanded grammars and subgrammars take up very little memory, this method enables systems to recognize and process a larger vocabulary that would otherwise be possible.
    Type: Application
    Filed: June 28, 2001
    Publication date: January 2, 2003
    Inventors: John W. Butzberger, Horacio E. Franco, Leonardo Neumeyer, Jing Zheng
  • Patent number: 5317673
    Abstract: In a hidden Markov model-based speech recognition system, multilayer perceptrons (MLPs) are used in context-dependent estimation of a plurality of state-dependent observation probability distributions of phonetic classes. Estimation is obtained by the Bayesian factorization of the observation likelihood in terms of posterior probabilities of phone classes assuming the context and the input speech vector. The context-dependent estimation is employed as the state-dependent observation probabilities needed as parameter input to a hidden Markov model speech processor to identify the word sequence representing the unknown speech input of input speech vectors. Within the speech processor, models are provided which employ the observation probabilities in the recognition process.
    Type: Grant
    Filed: June 22, 1992
    Date of Patent: May 31, 1994
    Assignee: SRI International
    Inventors: Michael H. Cohen, Horacio E. Franco