Patents by Inventor Matthew SEIGEL

Matthew SEIGEL 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).

  • Automatic accent detection using acoustic models
    Patent number: 10255907
    Abstract: Systems and processes for automatic accent detection are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a user input, determining a first similarity between a representation of the user input and a first acoustic model of a plurality of acoustic models, and determining a second similarity between the representation of the user input and a second acoustic model of the plurality of acoustic models. The method further includes determining whether the first similarity is greater than the second similarity. In accordance with a determination that the first similarity is greater than the second similarity, the first acoustic model may be selected; and in accordance with a determination that the first similarity is not greater than the second similarity, the second acoustic model may be selected.
    Type: Grant
    Filed: September 4, 2015
    Date of Patent: April 9, 2019
    Assignee: Apple Inc.
    Inventors: Udhyakumar Nallasamy, Sachin S. Kajarekar, Matthias Paulik, Matthew Seigel
  • AUTOMATIC ACCENT DETECTION
    Publication number: 20160358600
    Abstract: Systems and processes for automatic accent detection are provided. In accordance with one example, a method includes, at an electronic device with one or more processors and memory, receiving a user input, determining a first similarity between a representation of the user input and a first acoustic model of a plurality of acoustic models, and determining a second similarity between the representation of the user input and a second acoustic model of the plurality of acoustic models. The method further includes determining whether the first similarity is greater than the second similarity. In accordance with a determination that the first similarity is greater than the second similarity, the first acoustic model may be selected; and in accordance with a determination that the first similarity is not greater than the second similarity, the second acoustic model may be selected.
    Type: Application
    Filed: September 4, 2015
    Publication date: December 8, 2016
    Inventors: Udhyakumar NALLASAMY, Sachin S. KAJAREKAR, Matthias PAULIK, Matthew SEIGEL