US 12,121,823 B2
Automatic classification and reporting of inappropriate language in online applications
Jithin Thomas, Pune (IN); Neilesh Chorakhalikar, San Jose, CA (US); Ambrish Dantrey, Pune (IN); Revanth Reddy Nalla, Maharashtra (IN); and Prakshep Mehta, Maharashtra (IN)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Oct. 3, 2022, as Appl. No. 17/959,176.
Application 17/959,176 is a continuation of application No. 16/884,675, filed on May 27, 2020, granted, now 11,458,409.
Prior Publication US 2023/0182029 A1, Jun. 15, 2023
Int. Cl. A63F 13/87 (2014.01); A63F 13/355 (2014.01); A63F 13/71 (2014.01); A63F 13/77 (2014.01); A63F 13/79 (2014.01)
CPC A63F 13/87 (2014.09) [A63F 13/355 (2014.09); A63F 13/71 (2014.09); A63F 13/77 (2014.09); A63F 13/79 (2014.09)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
applying, to one or more first models, audio data generated using one or more microphones and during a session associated with a gaming application;
determining, using the one or more first models, a sequence of characters corresponding to a textual representation of the audio data;
generating, using one or more second models and based at least on the textual representation, an output that classifies at least a portion of the sequence of characters as inappropriate;
determining a portion of the audio data corresponding to the at least the portion of the sequence of characters; and
executing one or more actions with respect to the portion of the audio data.