US 11,689,666 B2
Proactive audio optimization for conferences
Derek Engi, Ferndale, MI (US); and Gonzalo Salgueiro, Raleigh, NC (US)
Assigned to Cisco Technology, Inc., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Jun. 23, 2021, as Appl. No. 17/355,352.
Prior Publication US 2022/0417364 A1, Dec. 29, 2022
Int. Cl. H04M 3/56 (2006.01)
CPC H04M 3/568 (2013.01) [H04M 2201/41 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining, by a device, audio data from one or more past conferences;
generating, by the device, a prediction model that predicts when participants of a conference will speak based on the audio data from the one or more past conferences;
predicting, by the device and using the prediction model, a speech distribution for participants of a particular conference, wherein the speech distribution indicates when and how long each participant will speak during the particular conference; and
proactively optimizing, by the device, audio parameters of the particular conference based on its predicted speech distribution to prioritize audio output by a particular participant during the particular conference, wherein the particular participant is predicted to be a primary speaker during the particular conference.