Patents by Inventor Sean Alan McKAY

Sean Alan McKAY 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: 11790175
    Abstract: A system and method for named entity linking from the output of speech-to-text systems by using an approximate string matching that normalizes common sounds, removes ambiguities, removes silent consonants, and accounts for speech slurring for long names. Additionally, the system and method for named entity linking from the output of speech-to-text systems employs a hierarchical matching system that performs multiple attempts using various mechanisms for resolving the name, starting with a very strict mechanism, and proceeding sequentially through less strict mechanisms.
    Type: Grant
    Filed: November 8, 2021
    Date of Patent: October 17, 2023
    Assignee: Fresh Consulting, Inc
    Inventors: Robert Hild, Sean Alan McKay, Eli Rodriguez
  • Publication number: 20220067291
    Abstract: A system and method for named entity linking from the output of speech-to-text systems by using an approximate string matching that normalizes common sounds, removes ambiguities, removes silent consonants, and accounts for speech slurring for long names. Additionally, the system and method for named entity linking from the output of speech-to-text systems employs a hierarchical matching system that performs multiple attempts using various mechanisms for resolving the name, starting with a very strict mechanism, and proceeding sequentially through less strict mechanisms.
    Type: Application
    Filed: November 8, 2021
    Publication date: March 3, 2022
    Inventors: Robert HILD, Sean Alan McKAY, Eli RODRIGUEZ
  • Patent number: 11170170
    Abstract: A system and method for named entity linking from the output of speech-to-text systems by using an approximate string matching that normalizes common sounds, removes ambiguities, removes silent consonants, and accounts for speech slurring for long names. Additionally, the system and method for named entity linking from the output of speech-to-text systems employs a hierarchical matching system that performs multiple attempts using various mechanisms for resolving the name, starting with a very strict mechanism, and proceeding sequentially through less strict mechanisms.
    Type: Grant
    Filed: May 28, 2019
    Date of Patent: November 9, 2021
    Assignee: Fresh Consulting, Inc
    Inventors: Robert Hild, Sean Alan McKay, Eli Rodriguez
  • Publication number: 20200380073
    Abstract: A system and method for named entity linking from the output of speech-to-text systems by using an approximate string matching that normalizes common sounds, removes ambiguities, removes silent consonants, and accounts for speech slurring for long names. Additionally, the system and method for named entity linking from the output of speech-to-text systems employs a hierarchical matching system that performs multiple attempts using various mechanisms for resolving the name, starting with a very strict mechanism, and proceeding sequentially through less strict mechanisms.
    Type: Application
    Filed: May 28, 2019
    Publication date: December 3, 2020
    Inventors: Robert HILD, Sean Alan McKAY, Eli RODRIGUEZ