Collaborative Distributed Microphone Array for Noise Suppression
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Solution Overview
Problem
Current systems, such as laptops, fail to effectively suppress background noise and enhance speech intelligibility during conference calls, especially in noisy environments, and lack collaboration between devices, leading to decreased productivity and effectiveness for users with hearing difficulties or distractions.
Innovation Solution
A system utilizing distributed microphone arrays that collaborate through an orchestration engine to detect sound sources, suppress noise, and enhance speech intelligibility by generating customized anti-noise signals for each device, allowing users to focus on desired speech without headsets, even in crowded spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed microphone arrays collaborate through an orchestration engine, then speech intelligibility and noise suppression improve, but device complexity and system coordination requirements increase
Solution Approach 1:
Multiple separate microphone arrays are merged into a unified distributed array system that functions as a single coherent unit. The orchestration engine combines audio data from multiple devices to create a unified noise suppression and beamforming system, achieving superior speech intelligibility through collaborative processing rather than isolated device operation.
Solution Approach 2:
An orchestration engine acts as an intermediary component that manages the collaboration between multiple microphone arrays. It coordinates data exchange, synchronizes processing operations, and implements centralized control algorithms for noise suppression and beamforming, thereby reducing the coordination complexity burden on individual devices while maintaining system-wide optimization.
2Object-affected harmful factors
If multiple devices process sound information collaboratively, then background noise suppression improves, but data transmission and processing overhead increase
Solution Approach 1:
The orchestration engine extracts and separates noise components from the mixed audio signals received from multiple microphone arrays. By identifying and isolating background noise characteristics across the distributed network, the system can apply targeted suppression algorithms that reduce noise impact while minimizing the transmission of unnecessary data, as only relevant noise statistics and control parameters need to be exchanged rather than complete raw signal replication.
Data Source
AI summary
A collaborative distributed microphone array is configured to perform or be used in sound quality operations. A distributed microphone array can be operated to provide sound quality operations including sound suppression operations and speech intelligibility operations for multiple users in the same environment.