Call Audio Noise Detection With Auto-Mute Notifications
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Solution Overview
Problem
Conventional communication technologies fail to automatically detect and mitigate background noise during calls, leading to disruptions and quality issues when users are unaware that inappropriate sounds are being transmitted.
Innovation Solution
A system that analyzes audio and video signals in real-time to identify background noise, providing notifications or automatically muting the user to suppress such noise, using voice activity detection and volume level analysis to determine the presence of background noise and its appropriateness for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic background noise detection and mitigation is implemented, then call quality is improved, but device complexity increases
Solution Approach 1:
The system automatically detects background noise and performs mitigation without requiring manual user intervention. The noise detection module continuously monitors audio signals and automatically triggers muting or notification actions when background noise is detected, allowing the system to serve itself in maintaining call quality.
Solution Approach 2:
The patent replaces manual user actions (mechanically pressing mute buttons) with automated electronic detection and control systems. Voice activity detection algorithms and automated control logic substitute for human judgment and manual operation, reducing the perceived complexity for users while maintaining call quality.
2Loss of information
If manual muting by users is required, then user awareness of background noise is improved, but productivity decreases due to user intervention
Solution Approach 1:
The system provides feedback to users through notifications when background noise is detected. The notification module informs users of the detected noise and prompts them to mute if necessary, creating a feedback loop that maintains user awareness while allowing automated assistance.
Solution Approach 2:
The system performs partial automation by handling noise detection automatically while leaving the final muting decision to the user through notifications. This partial action approach maintains user control and awareness while reducing the burden of complete manual monitoring.
3Reliability
If automatic muting is performed without user action, then call quality is improved, but ease of operation decreases
Solution Approach 1:
The system dynamically adjusts its level of automation based on the situation. It can operate in different modes: providing notifications for user decision-making, or performing automatic muting when configured to do so. This dynamic behavior allows the system to adapt between maintaining call quality and preserving user control.
Data Source
AI summary
Systems, methods, and non-transitory computer readable media are configured to perform operations comprising analyzing a signal associated with a user in a call; determining the existence of background noise associated with the user during the call; and performing an action during the call to mitigate the background noise associated with the user.


