Patents by Inventor Chad R. Heinemann

Chad R. Heinemann 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).

  • Publication number: 20210224116
    Abstract: Examples are disclosed that relate to managing workloads provided by a plurality of clients to a shared resource. One example provides a computing device comprising a processor and a storage device storing instructions executable by the processor. The instructions are executable to provide a first workload from a first client and a second workload from a second client to a shared memory accessible by the first client, the second client, and a resource configured to process the first workload and the second workload. The computing device is configured to determine that an exception has occurred while processing the first workload, and to take an action to prevent execution of at least some additional work from the first client. The instructions are further executable to receive a result of processing the second workload after taking the action to prevent the execution of the additional work.
    Type: Application
    Filed: January 22, 2020
    Publication date: July 22, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chad R. HEINEMANN, Alexander Robert Paul GRENIER, Ziyad Ahmad IBRAHIM
  • Patent number: 8838449
    Abstract: This document describes word-dependent language models, as well as their creation and use. A word-dependent language model can permit a speech-recognition engine to accurately verify that a speech utterance matches a multi-word phrase. This is useful in many contexts, including those where one or more letters of the expected phrase are known to the speaker.
    Type: Grant
    Filed: December 23, 2010
    Date of Patent: September 16, 2014
    Assignee: Microsoft Corporation
    Inventors: Yun-Cheng Ju, Ivan J. Tashev, Chad R. Heinemann
  • Patent number: 8660847
    Abstract: A system for integrating local speech recognition with cloud-based speech recognition in order to provide an efficient natural user interface is described. In some embodiments, a computing device determines a direction associated with a particular person within an environment and generates an audio recording associated with the direction. The computing device then performs local speech recognition on the audio recording in order to detect a first utterance spoken by the particular person and to detect one or more keywords within the first utterance. The first utterance may be detected by applying voice activity detection techniques to the audio recording. The first utterance and the one or more keywords are subsequently transferred to a server which may identify speech sounds within the first utterance associated with the one or more keywords and adapt one or more speech recognition techniques based on the identified speech sounds.
    Type: Grant
    Filed: September 2, 2011
    Date of Patent: February 25, 2014
    Assignee: Microsoft Corporation
    Inventors: Thomas M. Soemo, Leo Soong, Michael H. Kim, Chad R. Heinemann, Dax H. Hawkins
  • Publication number: 20130060571
    Abstract: A system for integrating local speech recognition with cloud-based speech recognition in order to provide an efficient natural user interface is described. In some embodiments, a computing device determines a direction associated with a particular person within an environment and generates an audio recording associated with the direction. The computing device then performs local speech recognition on the audio recording in order to detect a first utterance spoken by the particular person and to detect one or more keywords within the first utterance. The first utterance may be detected by applying voice activity detection techniques to the audio recording. The first utterance and the one or more keywords are subsequently transferred to a server which may identify speech sounds within the first utterance associated with the one or more keywords and adapt one or more speech recognition techniques based on the identified speech sounds.
    Type: Application
    Filed: September 2, 2011
    Publication date: March 7, 2013
    Applicant: Microsoft Corporation
    Inventors: Thomas M. Soemo, Leo Soong, Michael H. Kim, Chad R. Heinemann, Dax H. Hawkins
  • Publication number: 20120166196
    Abstract: This document describes word-dependent language models, as well as their creation and use. A word-dependent language model can permit a speech-recognition engine to accurately verify that a speech utterance matches a multi-word phrase. This is useful in many contexts, including those where one or more letters of the expected phrase are known to the speaker.
    Type: Application
    Filed: December 23, 2010
    Publication date: June 28, 2012
    Applicant: Microsoft Corporation
    Inventors: Yun-Cheng Ju, Ivan J. Tashev, Chad R. Heinemann