Patents by Inventor Hernan Guelman

Hernan Guelman 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).

  • Flexible schema for language model customization
    Patent number: 10497367
    Abstract: The customization of language modeling components for speech recognition is provided. A list of language modeling components may be made available by a computing device. A hint may then be sent to a recognition service provider for combining the multiple language modeling components from the list. The hint may be based on a number of different domains. A customized combination of the language modeling components based on the hint may then be received from the recognition service provider.
    Type: Grant
    Filed: December 22, 2016
    Date of Patent: December 3, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael Levit, Hernan Guelman, Shuangyu Chang, Sarangarajan Parthasarathy, Benoit Dumoulin
  • FLEXIBLE SCHEMA FOR LANGUAGE MODEL CUSTOMIZATION
    Publication number: 20170103753
    Abstract: The customization of language modeling components for speech recognition is provided. A list of language modeling components may be made available by a computing device. A hint may then be sent to a recognition service provider for combining the multiple language modeling components from the list. The hint may be based on a number of different domains. A customized combination of the language modeling components based on the hint may then be received from the recognition service provider.
    Type: Application
    Filed: December 22, 2016
    Publication date: April 13, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Michael Levit, Hernan Guelman, Shuangyu Chang, Sarangarajan Parthasarathy, Benoit Dumoulin
  • Flexible schema for language model customization
    Patent number: 9529794
    Abstract: The customization of language modeling components for speech recognition is provided. A list of language modeling components may be made available by a computing device. A hint may then be sent to a recognition service provider for combining the multiple language modeling components from the list. The hint may be based on a number of different domains. A customized combination of the language modeling components based on the hint may then be received from the recognition service provider.
    Type: Grant
    Filed: March 27, 2014
    Date of Patent: December 27, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael Levit, Hernan Guelman, Shuangyu Chang, Sarangarajan Parthasarathy, Benoit Dumoulin
  • Flexible Schema for Language Model Customization
    Publication number: 20150278191
    Abstract: The customization of language modeling components for speech recognition is provided. A list of language modeling components may be made available by a computing device. A hint may then be sent to a recognition service provider for combining the multiple language modeling components from the list. The hint may be based on a number of different domains. A customized combination of the language modeling components based on the hint may then be received from the recognition service provider.
    Type: Application
    Filed: March 27, 2014
    Publication date: October 1, 2015
    Applicant: Microsoft Corporation
    Inventors: Michael Levit, Hernan Guelman, Shuangyu Chang, Sarangarajan Parthasarathy, Benoit Dumoulin
  • System and method of call classification with context modeling based on composite words
    Patent number: 7487094
    Abstract: A system and method of automatically classifying a communication involving at least one human, e.g., a human-to-human telephone conversation, into predefined categories of interest, e.g., “angry customer, etc. The system automatically, or semi-automatically with user interaction, expanding user input into semantically equivalent events. The system recognizes these events, each of which is given a confidence level, and classifies the telephone conversation based on an overall confidence level. In some embodiments, a different base unit is utilized. Instead of recognizing individual words, the system recognizes composite words, each of which is pre-programmed as an atomic unit, in a given context. The recognition includes semantically relevant composite words and contexts automatically generated by the system.
    Type: Grant
    Filed: June 18, 2004
    Date of Patent: February 3, 2009
    Assignee: Utopy, Inc.
    Inventors: Yochai Konig, Hernan Guelman