Machine learning driven teleprompter

A method implemented in a data processing system by a data processing system for a machine learning driven teleprompter, the method comprising:

• displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter of the presentation;
• 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 representation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to convert the audio content into a textual representation of the speech in the audio content;
• analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information, the second machine learning model being configured to receive a first textual input and a second textual input and determine a position of the first textual input;
• and
• automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position information on the display of the computing device associated with the presenter.

A machine-readable medium on which are stored instructions that, when executed, cause a processor of a programmable device to perform functions of:

• displaying a teleprompter transcript associated with a presentation on a display of a computing device associated with a presenter of the presentation;
• 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 representation of the audio content, the first machine learning model being a natural language processing model trained to receive audio content including speech and to convert the audio content into a textual representation of the speech in the audio content;
• analyzing the real-time textual representation and the teleprompter transcript with a second machine learning model to obtain transcript position information, the second machine learning model being configured to receive a first textual input and a second textual input and determine a position of the first textual input;
• and
• automatically scrolling the teleprompter transcript on the display of the computing device based on the transcript position information on the display of the computing device associated with the presenter.