Patents by Inventor Barlas Oguz

Barlas Oguz 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).

  • Incremental utterance decoder combination for efficient and accurate decoding
    Patent number: 9922654
    Abstract: An incremental speech recognition system. The incremental speech recognition system incrementally decodes a spoken utterance using an additional utterance decoder only when the additional utterance decoder is likely to add significant benefit to the combined result. The available utterance decoders are ordered in a series based on accuracy, performance, diversity, and other factors. A recognition management engine coordinates decoding of the spoken utterance by the series of utterance decoders, combines the decoded utterances, and determines whether additional processing is likely to significantly improve the recognition result. If so, the recognition management engine engages the next utterance decoder and the cycle continues. If the accuracy cannot be significantly improved, the result is accepted and decoding stops.
    Type: Grant
    Filed: December 13, 2016
    Date of Patent: March 20, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Shuangyu Chang, Michael Levit, Abhik Lahiri, Barlas Oguz, Benoit Dumoulin
  • INCREMENTAL UTTERANCE DECODER COMBINATION FOR EFFICIENT AND ACCURATE DECODING
    Publication number: 20170092275
    Abstract: An incremental speech recognition system. The incremental speech recognition system incrementally decodes a spoken utterance using an additional utterance decoder only when the additional utterance decoder is likely to add significant benefit to the combined result. The available utterance decoders are ordered in a series based on accuracy, performance, diversity, and other factors. A recognition management engine coordinates decoding of the spoken utterance by the series of utterance decoders, combines the decoded utterances, and determines whether additional processing is likely to significantly improve the recognition result. If so, the recognition management engine engages the next utterance decoder and the cycle continues. If the accuracy cannot be significantly improved, the result is accepted and decoding stops.
    Type: Application
    Filed: December 13, 2016
    Publication date: March 30, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Shuangyu Chang, Michael Levit, Abhik Lahiri, Barlas Oguz, Benoit Dumoulin
  • Incremental utterance decoder combination for efficient and accurate decoding
    Patent number: 9552817
    Abstract: An incremental speech recognition system. The incremental speech recognition system incrementally decodes a spoken utterance using an additional utterance decoder only when the additional utterance decoder is likely to add significant benefit to the combined result. The available utterance decoders are ordered in a series based on accuracy, performance, diversity, and other factors. A recognition management engine coordinates decoding of the spoken utterance by the series of utterance decoders, combines the decoded utterances, and determines whether additional processing is likely to significantly improve the recognition result. If so, the recognition management engine engages the next utterance decoder and the cycle continues. If the accuracy cannot be significantly improved, the result is accepted and decoding stops.
    Type: Grant
    Filed: March 19, 2014
    Date of Patent: January 24, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Shuangyu Chang, Michael Levit, Abhik Lahiri, Barlas Oguz, Benoit Dumoulin
  • INCREMENTAL UTTERANCE DECODER COMBINATION FOR EFFICIENT AND ACCURATE DECODING
    Publication number: 20150269949
    Abstract: An incremental speech recognition system. The incremental speech recognition system incrementally decodes a spoken utterance using an additional utterance decoder only when the additional utterance decoder is likely to add significant benefit to the combined result. The available utterance decoders are ordered in a series based on accuracy, performance, diversity, and other factors. A recognition management engine coordinates decoding of the spoken utterance by the series of utterance decoders, combines the decoded utterances, and determines whether additional processing is likely to significantly improve the recognition result. If so, the recognition management engine engages the next utterance decoder and the cycle continues. If the accuracy cannot be significantly improved, the result is accepted and decoding stops.
    Type: Application
    Filed: March 19, 2014
    Publication date: September 24, 2015
    Applicant: MICROSOFT CORPORATION
    Inventors: Shuangyu Chang, Michael Levit, Abhik Lahiri, Barlas Oguz, Benoit Dumoulin