Microsoft Technology Licensing, LLC

Tiffany Michelle Smith

Michael Jay Gilmore

Stephanie Horn

Shivani Gupta

Chakkaradeep Chinnakonda Chandran

Ridhima Gupta

Sarah Zaki

Tarun Malik

Pranjal Saxena

Stephanie Lorraine Horn

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.

Machine learning driven teleprompter

Growing community of inventors

Seattle, WA, United States of America

Tiffany Michelle Smith