Room Impulse Response Estimation for Acoustic Echo Cancellation
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Solution Overview
Problem
Acoustic echo cancellation in reverberant environments with microphone arrays is inefficient as existing methods compute each echo cancellation filter separately without exploiting the array structure, leading to suboptimal impulse response estimates.
Innovation Solution
The proposed method estimates the room transfer function by incorporating array information, using a sparse array signal processing algorithm that models audible signal reflections as virtual image sources and exploits the sparsity of reflections to form improved impulse response estimates between loudspeakers and microphones, thereby enhancing echo cancellation performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods compute each echo cancellation filter separately for each microphone, then the implementation is simple, but the impulse response estimation accuracy deteriorates
Solution Approach 1:
The patent combines the echo cancellation filter computations for all microphones into a single unified algorithm. Instead of computing separate filters for each microphone independently, the method processes the microphone array signals jointly, exploiting the spatial correlations and shared acoustic environment to produce more accurate impulse response estimates while maintaining computational efficiency.
2Reliability
If traditional methods ignore the array structure, then the algorithm is simpler, but the echo cancellation performance deteriorates
Solution Approach 1:
The patent creates a unified algorithm that serves multiple microphones simultaneously, making the echo cancellation system multi-functional. The single algorithm processes signals from the entire microphone array, extracting shared acoustic information and spatial characteristics to improve echo cancellation performance across all microphones while avoiding the need for separate specialized algorithms for each microphone.
3Productivity
If separate filter computation is used for each microphone, then computational resources per microphone are lower, but overall processing efficiency deteriorates
Solution Approach 1:
The patent merges the computational tasks for all microphones into a single integrated processing pipeline. By computing echo cancellation filters for the entire microphone array simultaneously rather than separately for each microphone, the method reduces redundant computations and improves overall processing efficiency while maintaining reasonable computational resource requirements.
Data Source
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AI summary
Various methods and systems for estimating a room impulse response between an audio source and an array of microphones are described. In one example, a method includes receiving audio signals at a microphone of an array of microphones. The audio signals correspond to each of the microphones in the array of microphones. The method also includes determining a room impulse response in a subspace that is compatible with a geometry of the array of microphones based on the received audio signals.