View source for 18099577. HYBRID DIGITAL SIGNAL PROCESSING-ARTIFICIAL INTELLIGENCE ACOUSTIC ECHO CANCELLATION FOR VIRTUAL CONFERENCES simplified abstract (Zoom Video Communications, Inc.)

=HYBRID DIGITAL SIGNAL PROCESSING-ARTIFICIAL INTELLIGENCE ACOUSTIC ECHO CANCELLATION FOR VIRTUAL CONFERENCES=


==Organization Name==

[[:Category:Zoom Video Communications, Inc.|Zoom Video Communications, Inc.]]


[[Category:Zoom Video Communications, Inc.]]

==Inventor(s)==

[[:Category:Jiachuan Deng of Singapore (SG)|Jiachuan Deng of Singapore (SG)]][[Category:Jiachuan Deng of Singapore (SG)]]

[[:Category:Cheng Lun Hu of Singapore (SG)|Cheng Lun Hu of Singapore (SG)]][[Category:Cheng Lun Hu of Singapore (SG)]]

[[:Category:Zhaofeng Jia of Saratoga CA (US)|Zhaofeng Jia of Saratoga CA (US)]][[Category:Zhaofeng Jia of Saratoga CA (US)]]

[[:Category:Qiyong Liu of Singapore (SG)|Qiyong Liu of Singapore (SG)]][[Category:Qiyong Liu of Singapore (SG)]]

[[:Category:Wei Wang of Hefei (CN)|Wei Wang of Hefei (CN)]][[Category:Wei Wang of Hefei (CN)]]

[[:Category:Yueguan Wang of Hangzhou (CN)|Yueguan Wang of Hangzhou (CN)]][[Category:Yueguan Wang of Hangzhou (CN)]]

==HYBRID DIGITAL SIGNAL PROCESSING-ARTIFICIAL INTELLIGENCE ACOUSTIC ECHO CANCELLATION FOR VIRTUAL CONFERENCES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18099577 titled 'HYBRID DIGITAL SIGNAL PROCESSING-ARTIFICIAL INTELLIGENCE ACOUSTIC ECHO CANCELLATION FOR VIRTUAL CONFERENCES

'''Simplified Explanation:'''
The patent application describes a method and system for hybrid DSP-AI acoustic echo cancellation for virtual conferences. This technology combines digital signal processing (DSP) and artificial intelligence (AI) to effectively filter out both linear and nonlinear echoes from audio signals in virtual conference settings.

* Linear acoustic echo cancellation (AEC) using DSP filters out linear echoes from the input audio signal.
* The system then determines the level of nonlinear echo present in the filtered audio signal.
* If the level of nonlinear echo exceeds a threshold, AI-based nonlinear AEC is applied to further filter out the echoes.
* When the level of nonlinear echo is below the threshold, a DSP-based nonlinear AEC is used to process the audio signal.

'''Key Features and Innovation:'''
* Hybrid approach combining DSP and AI for effective echo cancellation.
* Ability to filter out both linear and nonlinear echoes in real-time.
* Adaptive threshold for switching between DSP and AI-based echo cancellation methods.
* Enhanced audio quality in virtual conference settings.

'''Potential Applications:'''
* Virtual conferences and online meetings.
* Teleconferencing systems.
* Remote learning platforms.
* Video conferencing applications.

'''Problems Solved:'''
* Elimination of echo and feedback in virtual conference audio.
* Improved audio quality for remote communication.
* Enhanced user experience in virtual meetings.

'''Benefits:'''
* Clearer audio transmission.
* Reduction of background noise and distractions.
* Seamless communication in virtual environments.
* Enhanced overall user experience.

'''Commercial Applications:'''
The technology can be utilized in various virtual communication platforms, teleconferencing systems, and online collaboration tools. It has the potential to improve the audio quality and user experience in virtual meetings, leading to increased adoption and customer satisfaction.

'''Questions about Acoustic Echo Cancellation:'''
1. How does hybrid DSP-AI echo cancellation differ from traditional echo cancellation methods?
2. What are the key advantages of using AI in nonlinear echo cancellation compared to DSP-only approaches?


==Original Abstract Submitted==

Example methods and systems provide hybrid DSP-AI acoustic echo cancellation for virtual conferences. A digital signal processing (DSP)-based linear acoustic echo cancelation (AEC) can be performed on an input audio signal to filter out linear echo present in the input audio signal and generate a first filtered audio signal. A level of nonlinear echo present in the first filtered audio signal can then be determined. When the level of nonlinear echo satisfies a threshold, an artificial intelligence (AI)-based nonlinear AEC can be performed on the first filtered audio signal to generate an AI-filtered audio signal. When the level of nonlinear echo does not satisfy the threshold, a DSP-based nonlinear AEC can be performed on the first filtered audio signal to generate a second filtered audio signal.



[[Category:H04M9/08]]
[[Category:G10K11/178]]
[[Category:CPC_H04M9/082]]