Patents by Inventor Ridhima GUPTA

Ridhima GUPTA 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: 20240114106
    Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio
    Type: Application
    Filed: December 7, 2023
    Publication date: April 4, 2024
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chakkaradeep Chinnakonda CHANDRAN, Stephanie Lorraine HORN, Michael Jay GILMORE, Tarun MALIK, Sarah ZAKI, Tiffany Michelle SMITH, Shivani GUPTA, Pranjal SAXENA, Ridhima GUPTA
  • Patent number: 11902690
    Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio
    Type: Grant
    Filed: January 19, 2022
    Date of Patent: February 13, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chakkaradeep Chinnakonda Chandran, Stephanie Lorraine Horn, Michael Jay Gilmore, Tarun Malik, Sarah Zaki, Tiffany Michelle Smith, Shivani Gupta, Pranjal Saxena, Ridhima Gupta
  • Publication number: 20230127120
    Abstract: Techniques performed by a data processing system for a machine learning driven teleprompter include displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter; receiving audio content of the presentation including speech of the presenter in which the presenter is reading the teleprompter transcript; analyzing the audio content of the presentation using a first machine learning model to obtain a real-time textual translation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to translate the audio content into a textual representation of the speech; analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information; and automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position informatio
    Type: Application
    Filed: January 19, 2022
    Publication date: April 27, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chakkaradeep Chinnakonda CHANDRAN, Stephanie Lorraine HORN, Michael Jay GILMORE, Tarun MALIK, Sarah ZAKI, Tiffany Michelle SMITH, Shivani GUPTA, Pranjal SAXENA, Ridhima GUPTA