Audio Muting for Crosstalk Suppression in Proximity Conferencing
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Solution Overview
Problem
Audio conferencing systems face issues with audio coupling and echo when participants are in close proximity, leading to distracting delays and unnatural communication experiences due to multiple audio streams with varying latencies.
Innovation Solution
The system employs active feedback, manual detection, and automatic muting procedures to identify and suppress nuisance audio by using multiple microphones to detect echo paths and associate them with participants, allowing for selective suppression of unwanted audio streams.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If participants are placed in close proximity to enable face-to-face interaction, then communication effectiveness is improved, but audio coupling and echo problems occur due to acoustic paths between endpoints
Solution Approach 1:
The system segments the audio processing by creating separate detection and suppression mechanisms for different echo paths. Multiple microphones are used to detect different acoustic paths independently, and suppression is applied selectively to each identified path, allowing participants to be in close proximity without suffering from unmanaged audio coupling.
Solution Approach 2:
The system implements feedback by continuously monitoring audio signals from multiple microphones to detect echo paths, then applying suppression in real-time. The system measures the acoustic environment, identifies problematic paths, and adjusts suppression levels dynamically based on detected echo characteristics, creating a closed-loop control system that adapts to changing acoustic conditions.
2Loss of information
If audio streams are transmitted to all participants regardless of proximity, then complete information delivery is achieved, but distracting delays and duplicate audio occur
Solution Approach 1:
The system applies local quality by treating each participant's audio reception differently based on their specific acoustic environment. Instead of uniform audio delivery to all participants, the system selectively suppresses echo paths for specific participant pairs based on detected acoustic coupling, allowing complete information delivery to those who need it while eliminating distracting duplicates for those affected by audio coupling.
Solution Approach 2:
The suppression mechanism is dynamic rather than static. The system continuously monitors audio paths and adjusts suppression levels in real-time based on detected echo characteristics, participant activity, and acoustic conditions. This dynamic approach allows the system to maintain complete information delivery while adaptively eliminating distracting delays when and where they occur.
3Measurement precision
If multiple microphones are deployed to detect echo paths, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary action by conducting acoustic environment detection and echo path identification during setup or during periods of low activity. This preliminary characterization of the acoustic environment allows the system to pre-establish suppression parameters, reducing the computational complexity during active communication while maintaining high detection accuracy through the multiple microphone array.
Data Source
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AI summary
In an audio conferencing environment, including multiple users participating by means of a series of associated audio input devices for the provision of audio input, and a series of audio output devices for the output of audio output streams to the multiple users, with the audio input and output devices being interconnected to a mixing control server for the control and mixing of the audio inputs from each audio input devices to present a series of audio streams to the audio output devices, a method of reducing the effects of cross talk pickup of at least a first audio conversation by multiple audio input devices, the method including the steps of: (a) monitoring the series of audio input devices for the presence of a duplicate audio conversation input from at least two input audio sources in an audio output stream; and (b) where a duplicate audio conversation input is detected, suppressing the presence of the duplicate audio conversation input in the audio output stream.