Multi-Channel Echo Compensation with Signal De-Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multi-channel communication systems face challenges in echo reduction due to correlated signals, which lead to non-convergence of adaptive filters and introduction of audible artifacts, requiring an effective method to suppress echoes in a dynamic environment.
Innovation Solution
A multi-channel echo compensation system that includes a de-correlation processor and adaptive echo compensation filters, which de-correlate audio signals and dynamically adjust filter coefficients to generate echo-compensated signals, reducing unwanted echoes and improving speech intelligibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If adaptive filters are used to compensate for echoes in multi-channel systems, then echo reduction is improved, but filter convergence deteriorates due to signal correlation between channels
Solution Approach 1:
The system divides the multi-channel echo compensation problem into independent single-channel processing units. Each channel has its own adaptive filter that processes only its corresponding channel signal, eliminating inter-channel correlation issues. The overall echo compensation is achieved by summing the independent channel compensations.
Solution Approach 2:
The patent introduces an intermediary processing stage where channel signals are de-correlated or delayed before being fed to adaptive filters. This intermediary transformation breaks the direct correlation between channels while preserving the echo structure, allowing filters to converge properly.
2Object-affected harmful factors
If signal delay is introduced in individual channels to achieve echo compensation, then echo reduction is improved, but audible artifacts are introduced that reduce speech quality
Solution Approach 1:
The system dynamically adjusts delay parameters and filter coefficients based on the actual echo characteristics detected in each channel. By adapting these parameters in real-time, the system achieves effective echo cancellation while minimizing phase distortion and audible artifacts that would result from fixed delay values.
3Measurement precision
If filter coefficients are recalculated to adapt to speaker movement, then echo compensation accuracy is improved, but system complexity and processing time increase
Solution Approach 1:
The system implements dynamic adaptation where filter coefficients are continuously updated based on real-time signal characteristics. The adaptation process monitors correlation between channels and adjusts filter parameters accordingly, allowing the system to track speaker movement and environmental changes while maintaining computational efficiency through incremental updates rather than complete recalculation.
Data Source
AI summary
A system reduces echoes in an audio system by de-correlating audio signals. Adaptive filters provide compensation based on the de-correlated signals. A controller controls the de-correlation based upon the adaptation state of the adaptive filters.