US 12,039,966 B2
Noise management during an online conference session
Bjørn Winsvold, Tranby (NO); Eric Yi-hua Chen, Irvine, CA (US); Wei-Lien Hsu, Austin, TX (US); and Pi-Hsin Liu, Fremont, CA (US)
Assigned to CISCO TECHNOLOGY, INC., San Jose, CA (US)
Filed by Cisco Technology, Inc., San Jose, CA (US)
Filed on Apr. 19, 2023, as Appl. No. 18/303,001.
Application 18/303,001 is a continuation of application No. 16/993,908, filed on Aug. 14, 2020, granted, now 11,688,384.
Prior Publication US 2023/0252970 A1, Aug. 10, 2023
Int. Cl. G10K 11/178 (2006.01); G06N 20/00 (2019.01); H04L 12/18 (2006.01)
CPC G10K 11/17885 (2018.01) [G06N 20/00 (2019.01); H04L 12/1822 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining audio data from an endpoint participating in an online conference session, the audio data derived from audio captured at the endpoint;
obtaining a user selection indicating that a first type of noise reduction is to be applied to the audio captured at the endpoint;
classifying sounds in the audio data to identify at least one type of sound in response to obtaining the user selection that the first type of noise reduction is to be applied;
determining whether the at least one type of sound is on a list of allowed types of sounds, the list of allowed types of sounds indicating sounds that are to be transmitted to participants of the online conference session;
attenuating the at least one type of sound from the audio data when the at least one type of sound is not on the list of allowed types of sounds;
detecting a change in a sound environment associated with the endpoint; and
automatically activating a second type of noise reduction in response to detecting the change in the sound environment.