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.

Date of Patent:
Feb. 18, 2025

Filed:

Apr. 21, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Venkata Naga Vijaya Swetha Machanavajhala, Redmond, WA (US);

Ryan Graham Williams, Duvall, WA (US);

Sanghee Oh, Los Angeles, CA (US);

Ikuyo Tsunoda, Seattle, WA (US);

William D. Lewis, Seattle, WA (US);

Jian Wu, Bellevue, WA (US);

Daniel Charles Tompkins, Bellevue, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2013.01); G06F 3/14 (2006.01); G06F 3/16 (2006.01); G10L 15/22 (2006.01); G10L 25/51 (2013.01); G10L 25/78 (2013.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G06F 3/14 (2013.01); G06F 3/167 (2013.01); G10L 15/22 (2013.01); G10L 25/51 (2013.01); G10L 25/78 (2013.01); G10L 2015/088 (2013.01);
Abstract

The techniques disclosed herein provide intelligent display of auditory world experiences. Specialized AI models are configured to display integrated visualizations for different aspects of the auditory signals that may be communicated during an event, such as a meeting, chat session, etc. For instance, a system can use a sentiment recognition model to identify specific characteristics of a speech input, such as volume or tone, provided by a participant. The system can also use a speech recognition model to identify keywords that can be used to distinguish portions of a transcript that are displayed. The system can also utilize an audio recognition model that is configured to analyze non-speech audio sounds for the purposes of identifying non-speech events. The system can then integrate the user interface attributes, distinguished portions of the transcript, and visual indicators describing the non-speech events.


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