Patents by Inventor Noah Murad

Noah Murad 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).

  • FALSE SUGGESTION Detection for User-Provided Content
    Publication number: 20250210038
    Abstract: An ASR transcript of at least a portion of a media content is obtained from an ASR tool. Suggested words are received for corrected words of the ASR transcript. Features are obtained using at least the suggested words. The features include a reasonableness score. The reasonableness score is obtained from an NLP model evaluating sentences including the suggested words in context of the ASR transcript. The features are input into a machine learning (ML) model to obtain a probabilistic determination of a validity of the suggested words. Responsive to the probabilistic determination exceeding a validity threshold, the suggested words are incorporated into the ASR transcript in place of the corrected words.
    Type: Application
    Filed: March 13, 2025
    Publication date: June 26, 2025
    Inventors: Dirk Padfield, Noah Murad, Edward Lo, Bryan Huh
  • False suggestion detection for user-provided content
    Patent number: 12254874
    Abstract: An automated speech recognition (ASR) transcript of at least a portion of a media content is obtained from an ASR tool. Suggested words are received for corrected words of the ASR transcript of the media content. Features are obtained using at least the suggested words or the corrected words. The features include features relating to sound similarities between the suggested words and the corrected words. The features are input into a machine learning (ML) model to obtain a determination regarding a validity of the suggested words. Responsive to the suggested words constituting a valid suggestion, the suggested words are incorporated into the ASR transcript. At least a portion of the ASR transcript is transmitted to a user device in conjunction with at least a portion of the media content.
    Type: Grant
    Filed: February 20, 2022
    Date of Patent: March 18, 2025
    Assignee: GOOGLE LLC
    Inventors: Dirk Padfield, Noah Murad, Edward Lo, Bryan Huh
  • False Suggestion Detection for User-Provided Content
    Publication number: 20230267926
    Abstract: An automated speech recognition (ASR) transcript of at least a portion of a media content is obtained from an ASR tool. Suggested words are received for corrected words of the ASR transcript of the media content. Features are obtained using at least the suggested words or the corrected words. The features include features relating to sound similarities between the suggested words and the corrected words. The features are input into a machine learning (ML) model to obtain a determination regarding a validity of the suggested words. Responsive to the suggested words constituting a valid suggestion, the suggested words are incorporated into the ASR transcript. At least a portion of the ASR transcript is transmitted to a user device in conjunction with at least a portion of the media content.
    Type: Application
    Filed: February 20, 2022
    Publication date: August 24, 2023
    Inventors: Dirk Padfield, Noah Murad, Edward Lo, Bryan Huh