Video-Based Audio Issue Detection for Communication Sessions
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Solution Overview
Problem
Participants in communication sessions often remain unaware that they are not being heard by others due to issues like muted settings, microphone problems, or poor connections, leading to fruitless speaking and difficulty in identifying the cause of audio issues.
Innovation Solution
The solution involves analyzing video of participants to detect audio issues by determining if the audio corresponds to the video, and notifying the participant about any discrepancies, such as no audio, out-of-sync audio, or low quality audio, using visual, audible, or tactile alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If participants rely on traditional audio-only monitoring, then the system remains simple, but participants cannot detect audio issues when they are not being heard
Solution Approach 1:
The patent introduces video as an intermediary medium to detect audio issues. The video feed serves as a mediator that provides visual evidence of participant speech, allowing the system to cross-validate audio presence and detect mismatches between visual and audio signals, thereby improving detection accuracy without requiring direct audio monitoring changes
Solution Approach 2:
The patent replaces traditional audio-only monitoring mechanisms with a video-based detection system. Instead of relying solely on audio signal processing, the system uses video analysis to detect speech activity, substituting acoustic detection with visual detection to overcome the limitations of audio-only monitoring
2Productivity
If participants wait for others to notify them of audio issues, then the system remains simple, but communication efficiency deteriorates due to fruitless speaking
Solution Approach 1:
The patent implements automatic feedback by continuously monitoring video feeds and comparing them across participants. When a participant is detected speaking but their audio is not being received, the system automatically generates and delivers notifications to the affected participant, creating a closed-loop feedback system that eliminates the need for manual reporting and immediately informs users of audio issues
Solution Approach 2:
The patent performs preliminary detection of audio issues by continuously analyzing video feeds before participants can speak fruitlessly. The system proactively identifies mismatches between visual speech activity and audio reception, and prepares notifications in advance, allowing participants to address issues before significant communication breakdown occurs
3Loss of time
If participants manually troubleshoot audio issues, then the system remains simple, but time is lost identifying the cause of the problem
Solution Approach 1:
The patent enhances feedback by not only detecting the presence of audio issues but also analyzing the characteristics of the mismatch between video and audio signals. The system provides detailed feedback about the nature of the issue, enabling faster and more accurate identification of problem causes
Solution Approach 2:
The patent replaces manual troubleshooting processes with automated video-based analysis. Instead of requiring participants to manually test and identify audio issues, the system uses video analysis to automatically detect and characterize problems, substituting human diagnostic efforts with automated visual inspection
Data Source
AI summary
The technology disclosed herein enables detection of audio issues for a participant on a communication session from analysis of video of the participant. In a particular embodiment, a method includes receiving video of a first participant communicating over a communication session between a first endpoint of the participant and a second endpoint of a second participant. The method further includes determining from the video that the participant is speaking. In response to determining that the participant is speaking, the method includes determining an audio issue exists due to audio of the first participant not corresponding to the video and notifying the first participant about the audio issue.