US 12,462,827 B2
Intelligent noise suppression for audio signals within a communication platform
Jiachuan Deng, Mountain View, CA (US); Qiyong Liu, Santa Clara, CA (US); Chuanfei Wang, Zhejiang (CN); and Xiuyu Xu, Zhejiang (CN)
Assigned to Zoom Communications, Inc., San Jose, CA (US)
Filed by Zoom Video Communications, Inc., San Jose, CA (US)
Filed on Feb. 28, 2023, as Appl. No. 18/115,636.
Application 18/115,636 is a continuation of application No. 17/390,915, filed on Jul. 31, 2021, granted, now 11,621,016.
Prior Publication US 2023/0206938 A1, Jun. 29, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 21/0232 (2013.01); G06N 3/08 (2023.01); G06N 7/01 (2023.01); G10L 25/18 (2013.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01)
CPC G10L 21/0232 (2013.01) [G06N 3/08 (2013.01); G06N 7/01 (2023.01); G10L 25/18 (2013.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for providing intelligent noise suppression for an audio signal within a communication platform, comprising:
classifying, using a first machine learning algorithm, whether the audio signal contains noise beyond a noise threshold based on a binary classification, comprising:
generating a binary output comprising the classification after a predefined time interval has expired; and
storing the binary output within a buffer, the buffer corresponding to a predefined window of time and configured to store a predefined number of binary outputs;
determining that the binary outputs within the buffer correspond to a likelihood that the audio signal contains noise beyond the noise threshold using a post-classification smoothing technique; and
processing the audio signal via a second machine learning algorithm trained to suppress noise to provide another version of the audio signal.