Automatic Mute Detection for Conference Calls
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Solution Overview
Problem
Conference call participants often inadvertently remain muted due to forgotten mute settings, leading to embarrassing situations and disruptions in discussions.
Innovation Solution
A method and apparatus for automatic mute detection that monitors sounds on muted lines, determining if they meet predetermined criteria such as speech or volume levels, and automatically deactivates the mute function when these criteria are met, with notifications to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If the mute function is activated to prevent background noise and unwanted audio transmission, then audio signal control is improved, but the system becomes less responsive to user speaking needs
Solution Approach 1:
The system continuously monitors audio signals from the muted microphone and provides feedback by detecting speech patterns. When speech is detected, the system automatically deactivates the mute function, creating a closed-loop control system that adapts to user needs in real-time
Solution Approach 2:
The system performs self-service by automatically detecting when the user intends to speak and autonomously deactivating the mute function without requiring manual user intervention. This eliminates the need for users to manually manage mute states while maintaining noise control when not speaking
2Ease of operation
If manual mute control is provided to users, then user control over audio transmission is improved, but user error and forgotten mute status increase
Solution Approach 1:
The system takes over the mute control task from the user by implementing automatic detection and management of mute states. The system monitors speech signals and automatically adjusts mute status, eliminating reliance on user memory and manual control while maintaining user-initiated mute functionality when needed
3Extent of automation
If automatic speech detection is implemented to trigger unmute, then responsiveness to user needs is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system applies partial action by monitoring only specific audio characteristics relevant to speech detection (such as volume thresholds and speech patterns) rather than performing complete audio analysis. This selective monitoring reduces processing complexity while maintaining effective automatic detection capability
Solution Approach 2:
The system changes parameters by adjusting detection sensitivity thresholds and audio processing levels dynamically. By modifying detection parameters based on ambient conditions and call context, the system maintains high automation capability while adapting processing requirements to minimize complexity
Data Source
AI summary
A system and methodology for managing a mute function muting a connection to a conference call or other communication is disclosed. The system is implemented when the mute function is activated on a line connected to a conference call through a telecommunications network. The method includes receiving a sound, determining whether the sound meets predetermined criteria and if the sound meets predetermined criteria then performing a mute status operation.