US 11,871,148 B1
Artificial intelligence communication assistance in audio-visual composition
Oleksiy Shevchenko, West Vancouver (CA); Ayan Mandal, Oakdale, CA (US); Bradley Jon Hoover, San Francisco, CA (US); Joel Tetreault, New York, NY (US); Maksym Lytvyn, West Vancouver (CA); and Dmytro Lider, Kyiv (UA)
Assigned to Grammarly, Inc., San Francisco, CA (US)
Filed by Grammarly, Inc., San Francisco, CA (US)
Filed on Dec. 7, 2021, as Appl. No. 17/544,412.
Application 17/544,412 is a continuation of application No. 16/905,050, filed on Jun. 18, 2020, granted, now 11,228,731.
Application 16/905,050 is a continuation of application No. 16/055,036, filed on Aug. 4, 2018, granted, now 10,764,534, issued on Sep. 1, 2020.
Claims priority of provisional application 62/541,203, filed on Aug. 4, 2017.
Int. Cl. H04N 7/14 (2006.01); G10L 15/22 (2006.01); G06F 9/451 (2018.01); G10L 15/197 (2013.01); G06N 20/00 (2019.01)
CPC H04N 7/147 (2013.01) [G06F 9/453 (2018.02); G06N 20/00 (2019.01); G10L 15/197 (2013.01); G10L 15/22 (2013.01); H04N 7/148 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A method of electronic communication assistance, the method comprising:
receiving an audio-visual electronic communication at an artificial intelligence assistant computing platform from a first user, the audio-visual electronic communication comprising an audio communication content and a video communication content, an intended recipient of the audio-visual electronic communication being a second user;
extracting an audio communication information from the audio communication content;
extracting a video communication information from the video communication content;
processing the audio-visual electronic communication with a processor using at least one of a machine learning model, deep learning model, or statistical learning algorithm, to generate feedback and suggestions associated with different target audience characteristics, communication conditions, and communication channel types, for a compositional change for communication content of the audio-visual electronic communication based on the extracted audio communication information and the extracted video communication information;
providing the feedback and the suggestions to the first user.