Online Meeting Microphone Volume Control via Voiceprint Watermarking
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Solution Overview
Problem
In online meetings, multiple participants in the same room using microphones can cause noise and echo, affecting voice quality, as existing systems require manual switching to optimize microphone settings, which is inefficient and disrupts the meeting experience.
Innovation Solution
A system that uses voice data analysis to identify participants in the same room through watermarks and automatically adjusts microphone volumes to prioritize the main speaker's voice, reducing echo and enhancing voice quality by increasing the main voice's volume while decreasing others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple participants in the same room use microphones simultaneously, then more people can participate in the meeting, but noise and echo increase, degrading voice quality
Solution Approach 1:
The system continuously monitors voice data from all microphones, detects the main speaker through voiceprint analysis and watermark identification, and dynamically adjusts microphone volumes in real-time based on this feedback loop, thereby maintaining voice quality while allowing multiple participants
Solution Approach 2:
The system dynamically adjusts the volume of each participant's microphone based on their current speaking status, transitioning between different audio configurations as speakers change, rather than maintaining a static audio setup throughout the meeting
2Object-affected harmful factors
If manual switching of microphones is implemented to optimize voice quality, then echo and noise can be reduced, but the meeting flow is disrupted and efficiency decreases
Solution Approach 1:
The system automatically identifies the main speaker through voiceprint analysis and watermark detection, and autonomously adjusts microphone volumes without requiring manual intervention from meeting participants, thus eliminating disruptions while maintaining voice quality
Solution Approach 2:
The system replaces the manual mechanical action of switching microphones with an automated digital signal processing system that uses voice analysis and algorithmic control to manage audio inputs, eliminating the need for manual operation
3Ease of operation
If automated voice detection and volume adjustment is implemented, then voice quality can be maintained without manual intervention, but system complexity increases
Solution Approach 1:
The system integrates multiple functions including voiceprint analysis, watermark detection, speaker identification, and volume control into a single unified automated platform, reducing the need for separate manual operations while managing complexity through functional integration
Data Source
AI summary
Embodiments of the present invention disclose a method, computer program product, and system for controlling the volume of microphones in an online meeting. The computer may receive a plurality of voice data from a plurality of user microphones. One or more users in a same room may be identified using the plurality of received voice data and a voice picker, wherein the one or more users in the same room have a same watermark in a set of voice data. A main voice of a user may be recognized from the one or more users in the same room using the voice picker. A microphone volume may be adjusted for each of the one or more users in the same room, wherein the microphone volume of the main voice of the user is increased.