Patents by Inventor Onur Domanic

Onur Domanic 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: 10157609
    Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.
    Type: Grant
    Filed: July 14, 2015
    Date of Patent: December 18, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael D. Plumpe, Julian Odell, Jon Hamaker, Rob Chambers, Christopher Le, Onur Domanic
  • Publication number: 20160012817
    Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.
    Type: Application
    Filed: July 14, 2015
    Publication date: January 14, 2016
    Inventors: Michael D. Plumpe, Julian Odell, Jon Hamaker, Rob Chambers, Christopher Le, Onur Domanic
  • Patent number: 9111540
    Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.
    Type: Grant
    Filed: June 9, 2009
    Date of Patent: August 18, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael D. Plumpe, Julian Odell, Jon Hamaker, Rob Chambers, Christopher Le, Onur Domanic
  • Publication number: 20100312555
    Abstract: A local feedback mechanism for customizing training models based on user data and directed user feedback is provided in speech recognition applications. The feedback data is filtered at different levels to address privacy concerns for local storage and for submittal to a system developer for enhancement of generic training models.
    Type: Application
    Filed: June 9, 2009
    Publication date: December 9, 2010
    Applicant: Microsoft Corporation
    Inventors: Michael D. Plumpe, Julian Odell, Jon Hamaker, Rob Chambers, Christopher Le, Onur Domanic