The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 10, 2024
Filed:
Dec. 07, 2023
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Chakkaradeep Chinnakonda Chandran, Woodinville, WA (US);
Stephanie Lorraine Horn, Bellevue, WA (US);
Michael Jay Gilmore, Bothell, WA (US);
Tarun Malik, Gurgaon, IN;
Sarah Zaki, New Delhi, IN;
Tiffany Michelle Smith, Seattle, WA (US);
Shivani Gupta, Greater Noida, IN;
Pranjal Saxena, Hyderabad, IN;
Ridhima Gupta, Gurgaon, IN;
Microsoft Technology Licensing, LLC, Redmond, WA (US);
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 information.