US 12,254,894 B2
Systems and methods for emotion detection, prediction, annotation, and coaching
Maithilee Lalit Samant, Los Gatos, CA (US); Barry Randall Schrag, Issaquah, WA (US); and Rajashree Suresh Varma, Sammamish, WA (US)
Assigned to Mirro.ai, Los Gatos, CA (US)
Filed by Maithilee Lalit Samant, Los Gatos, CA (US); Barry Randall Schrag, Issaquah, WA (US); and Rajashree Suresh Varma, Sammamish, WA (US)
Filed on Dec. 2, 2022, as Appl. No. 18/073,952.
Prior Publication US 2024/0185880 A1, Jun. 6, 2024
Int. Cl. G10L 25/72 (2013.01); G06V 40/16 (2022.01); G10L 25/54 (2013.01); G10L 25/63 (2013.01)
CPC G10L 25/72 (2013.01) [G06V 40/176 (2022.01); G10L 25/54 (2013.01); G10L 25/63 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method to improve human communication, comprising:
extracting features from a plurality of media streams;
providing the extracted features to a deep learning machine and predicting an emotional response for a given audience; and
annotating a user media stream with a feedback statement and an emotion label for a coach to help a user to improve human communication based on the predicted emotional response.