Avaya Management L.P. (20240305683). CALL QUALITY ANALYSIS, NOTIFICATION AND IMPROVEMENT simplified abstract
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CALL QUALITY ANALYSIS, NOTIFICATION AND IMPROVEMENT
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CALL QUALITY ANALYSIS, NOTIFICATION AND IMPROVEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240305683 titled 'CALL QUALITY ANALYSIS, NOTIFICATION AND IMPROVEMENT
Simplified Explanation: The patent application addresses issues with audio and video quality in remote communication, providing a system to identify and improve deficiencies.
- Determines if audio or video quality is deficient
- Selects and implements improvement actions
- Notifies users if an issue cannot be resolved
- Uses neural networks to determine improvement actions
Key Features and Innovation: - System to detect and address audio and video quality issues in remote communication - Utilizes neural networks for determining improvement actions - Notifies users of unresolvable issues
Potential Applications: - Remote work and collaboration tools - Video conferencing platforms - Telemedicine applications
Problems Solved: - Poor audio and video quality in remote communication - Wasting time trying to resolve unresolvable issues
Benefits: - Improved audio and video quality in remote communication - Efficient resolution of quality issues - Enhanced user experience in remote collaboration
Commercial Applications: "Enhanced Remote Communication Quality System" can be utilized in various industries such as telecommunication, video conferencing, and telemedicine to improve the quality of remote communication and enhance user experience.
Questions about Enhanced Remote Communication Quality System: 1. How does the system determine if audio or video quality is deficient? 2. What are the potential benefits of using neural networks to determine improvement actions in remote communication systems?
Original Abstract Submitted
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.
