Patents by Inventor Hugh Secker-Walker

Hugh Secker-Walker 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: 9093061
    Abstract: Provided are systems and methods for using hierarchical networks for recognition, such as speech recognition. Conventional automatic recognition systems may not be both efficient and flexible. Recognition systems are disclosed that may achieve efficiency and flexibility by employing hierarchical networks, prefix consolidation of networks, and future consolidation of networks. The disclosed networks may be associated with a network model and the associated network model may be modified during recognition to achieve greater flexibility.
    Type: Grant
    Filed: March 29, 2012
    Date of Patent: July 28, 2015
    Assignee: Canyon IP Holdings, LLC.
    Inventors: Hugh Secker-Walker, Kenneth J. Basye, Mahesh Krishnamoorthy
  • Patent number: 8996372
    Abstract: Speech recognition may be improved using data derived from an utterance. In some embodiments, audio data is received by a user device. Adaptation data may be retrieved from a data store accessible by the user device. The audio data and the adaptation data may be transmitted to a server device. The server device may use the audio data to calculate second adaptation data. The second adaptation data may be transmitted to the user device. Synchronously or asynchronously, the server device may perform speech recognition using the audio data and the second adaptation data and transmit speech recognition results back to the user device.
    Type: Grant
    Filed: October 30, 2012
    Date of Patent: March 31, 2015
    Assignee: Amazon Technologies, Inc.
    Inventors: Hugh Secker-Walker, Bjorn Hoffmeister, Ryan Thomas, Stan Salvador, Karthik Ramakrishnan
  • Patent number: 8914286
    Abstract: Provided are systems and methods for using hierarchical networks for recognition, such as speech recognition. Conventional automatic recognition systems may not be both efficient and flexible. Recognition systems are disclosed that may achieve efficiency and flexibility by employing hierarchical networks, prefix consolidation of networks, and future consolidation of networks. The disclosed networks may be associated with a network model and the associated network model may be modified during recognition to achieve greater flexibility.
    Type: Grant
    Filed: March 29, 2012
    Date of Patent: December 16, 2014
    Assignee: Canyon IP Holdings, LLC
    Inventors: Hugh Secker-Walker, Kenneth J. Basye, Mahesh Krishnamoorthy