Smart Audio Muting via Video Intent Verification
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Solution Overview
Problem
During videoconferences, participants often inadvertently speak while muted or mistakenly believe they are muted, leading to issues with audio transmission.
Innovation Solution
A smart muting method that detects audio and video streams, analyzes video data to determine if the audio corresponds to intended communication, and renders the audio accordingly, using a combination of microphones and cameras to track participants and adjust mute status based on their intent to communicate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system automatically transmits audio when detected, then communication efficiency is improved, but false transmission of unintended audio (e.g., background noise, accidental speech) increases
Solution Approach 1:
The patent introduces video data as an intermediary to verify the intent behind detected audio. The system cross-references audio detection with corresponding video frames to determine if the audio source is intentionally communicating or merely background noise/accidental speech. This intermediary verification layer resolves the contradiction by filtering out false positives while maintaining efficient transmission of genuine communication.
Solution Approach 2:
The system implements a feedback mechanism where audio detection triggers video analysis, which then feedbacks to confirm whether transmission should occur. This closed-loop verification process ensures that only audio with verified intent (confirmed through video correlation) is transmitted, thereby maintaining both efficiency and accuracy.
2Reliability
If the system uses video analysis to verify audio intent, then audio transmission accuracy is improved, but system complexity increases
Solution Approach 1:
The patent leverages the existing video camera, which is already a standard component in videoconferencing systems, to serve the additional function of audio intent verification. By making the video component multi-functional (both visual communication and audio verification), the system achieves improved accuracy without significantly increasing overall device complexity.
Solution Approach 2:
The system merges the audio processing stream with the video processing stream by correlating timestamps and spatial information from both sources. This integration allows the system to use existing video infrastructure for audio verification, avoiding the need for separate verification hardware and thus limiting complexity increase.
3Reliability
If the system processes both audio and video data, then communication reliability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary synchronization of audio and video streams by aligning their timestamps and spatial references in advance. This preliminary action establishes a correlation framework that enables rapid verification during actual audio transmission decisions, reducing the processing time required at the moment of transmission while maintaining high reliability.
Data Source
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AI summary
A smart muting method for a teleconference or videoconference participant includes detecting audio of an audio-video stream; analyzing video data of the audio-video stream with respect to the detected audio; determining that the audio corresponds to an intended communication, based on the analyzing video data of the audio-video stream with respect to the detected audio; and rendering the audio, responsive to determining that the audio corresponds to an intended communication.