Virtual Attendee Audio Monitoring for Real-Time Call Quality Feedback
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Solution Overview
Problem
Existing conferencing systems lack real-time feedback on how a speaker's audio quality is perceived by other users, failing to provide actionable insights or recommendations to improve audio quality during a call.
Innovation Solution
Implement a 'virtual attendee' system that monitors audio quality from the recipient's perspective, providing real-time feedback and taking corrective actions such as muting or adjusting settings to improve audio quality based on network and equipment conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time audio quality monitoring and feedback systems are implemented, then audio quality perception and user experience are improved, but system complexity and computational resources increase
Solution Approach 1:
The patent introduces a 'virtual attendee' as an intermediary component that acts as a dedicated audio quality monitor. This virtual attendee simulates how other conference participants perceive the speaker's audio by analyzing audio feeds and network conditions, providing realistic quality assessments without requiring complex peer-to-peer monitoring across all participants
Solution Approach 2:
The system implements continuous feedback loops where the virtual attendee monitors audio quality metrics in real-time, compares them against thresholds, and provides actionable recommendations to speakers. This feedback mechanism enables dynamic quality improvement while maintaining manageable system complexity through automated decision-making
2Measurement precision
If continuous monitoring of all communication metrics is performed, then audio quality assessment accuracy is improved, but network bandwidth and processing power are consumed
Solution Approach 1:
The patent extracts only the most critical audio quality metrics needed for accurate assessment, such as packet loss rates, jitter, and audio level variations. By selecting and monitoring only these key parameters rather than all possible communication metrics, the system achieves sufficient assessment accuracy while minimizing network bandwidth and processing resource consumption
3Productivity
If automatic corrective actions are implemented, then audio quality improvement speed is improved, but system control and user autonomy are reduced
Solution Approach 1:
The system implements dynamic, adaptive corrective actions that adjust based on the specific quality issues detected and the speaker's preferences. Rather than rigid automatic controls, the virtual attendee provides contextualized recommendations that speakers can choose to implement, allowing the system to be both responsive and respectful of user autonomy
Data Source
AI summary
Communication between remote participants is often impeded by quality issues of the audio and/or video components. Systems and methods are provided that determine whether a deficient audio or video quality is present and, if so, select and implement an improvement action. When a particular deficiency is present that cannot be improved, user endpoints may be notified. As a benefit, users may avoid wasting time attempting to resolve an unresolvable issue. Determination of a quality improvement action may comprise training and utilizing a neural network to determine an action to address a particular deficiency.