Patents by Inventor Mohamed K. Omar

Mohamed K. Omar 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).

  • Method for system combination in an audio analytics application
    Patent number: 10089977
    Abstract: Exemplary embodiments of the present invention provide a method of system combination in an audio analytics application including providing a plurality of language identification systems in which each of the language identification systems includes a plurality of probabilities. Each probability is associated with the system's ability to detect a particular language. The method of system combination in the audio analytics application includes receiving data at the language identification systems. The received data is different from data used to train the language identification systems. A confidence measure is determined for each of the language identification systems. The confidence measure identifies which language its system predicts for the received data and combining the language identification systems according to the confidence measures.
    Type: Grant
    Filed: July 7, 2015
    Date of Patent: October 2, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Sriram Ganapathy, Mohamed K. Omar, Robert Ward
  • METHOD FOR SYSTEM COMBINATION IN AN AUDIO ANALYTICS APPLICATION
    Publication number: 20170011734
    Abstract: Exemplary embodiments of the present invention provide a method of system combination in an audio analytics application including providing a plurality of language identification systems in which each of the language identification systems includes a plurality of probabilities. Each probability is associated with the system's ability to detect a particular language. The method of system combination in the audio analytics application includes receiving data at the language identification systems. The received data is different from data used to train the language identification systems. A confidence measure is determined for each of the language identification systems. The confidence measure identifies which language its system predicts for the received data and combining the language identification systems according to the confidence measures.
    Type: Application
    Filed: July 7, 2015
    Publication date: January 12, 2017
    Inventors: Sriram Ganapathy, Mohamed K. Omar, Robert Ward