Video Conference Audio Reception Switching for Non-Speaker Filtering
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Solution Overview
Problem
Participants in video conferences often forget to mute their microphones, causing irrelevant discussions to be heard by remote participants, disrupting the conference progress.
Innovation Solution
A method and system that automatically adjust audio reception based on participant positions and behaviors, using image and voice recognition to filter non-speakers' voices and receive speakers' voices, with optional manual control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual microphone muting is used, then participants can control audio reception, but participants may forget to mute causing irrelevant discussions to be heard
Solution Approach 1:
The system automatically detects participant behaviors through video analysis and autonomously adjusts audio reception settings without requiring manual user input. The video conference system serves itself by identifying when participants are engaged in side conversations and automatically filtering those audio streams, eliminating the need for participants to manually mute microphones.
Solution Approach 2:
The system continuously monitors video feeds and audio inputs, analyzes participant behaviors in real-time, and provides feedback by adjusting audio reception settings dynamically. When side conversations are detected through behavior analysis, the system immediately responds by filtering those audio streams, creating a closed-loop control system that maintains conference quality.
2Extent of automation
If automatic behavior recognition is implemented, then audio reception can be automatically adjusted, but system complexity increases
Solution Approach 1:
The video analysis module serves multiple functions: it not only captures video feeds for conference display but also performs behavior recognition for audio control. By making the video processing system multi-functional, the patent avoids adding separate hardware for behavior detection, thereby reducing overall system complexity while achieving high automation.
Solution Approach 2:
The patent combines video processing and audio control functions into a single integrated system. The behavior recognition algorithms are merged with the existing video conferencing software, and the audio filtration is combined with the video analysis pipeline. This merging eliminates the need for separate independent systems and reduces operational complexity.
Data Source
AI summary
A method for switching audio reception in a video conference and a video conferencing system are provided. In a case of starting the video conference, relative positions of participants in a conference space and behavioral events of participants are obtained by identifying a video signal. Based on the behavioral event of each participant, whether each participant is in a non-speaking behavior is determined. When a participant is determined to be a non-speaker in the non-speaking behavior, an audio reception range of an audio reception device is adjusted to filter a voice of the non-speaker based on the relative position of the non-speaker in the conference space. When a participant is determined to be a speaker not in the non-speaking behavior, the audio reception range of the audio reception device is adjusted to receive a voice of the speaker based on the relative position of the speaker in the conference space.