Multi-Position Audio Tuning Using Similarity-Based Response Alignment
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Solution Overview
Problem
Achieving a balanced frequency response, particularly a balanced bass response, across multiple listening positions in multi-channel audio systems is challenging due to varying acoustic interactions and complex tuning requirements, which conventional methods struggle to optimize effectively.
Innovation Solution
An automated method using a similarity metric-based optimization process to determine audio signal processing parameters, involving channel delay and allpass filter adjustments, to align and enhance the frequency responses across different listening positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual tuning of audio signal processing parameters is performed to optimize frequency response at one listening position, then the frequency response at that position is improved, but the frequency response at other listening positions degrades
Solution Approach 1:
The system changes multiple audio signal processing parameters (delays, gains, equalization filter coefficients) simultaneously through automated optimization to achieve balanced frequency response across multiple listening positions, rather than manually adjusting parameters for single-position optimization
2Reliability
If the number of audio signal processing parameters is increased to handle complex multi-speaker systems, then the optimization capability is improved, but the complexity of manual tuning increases significantly
Solution Approach 1:
The system performs self-optimization by automatically measuring frequency responses at multiple listening positions and computing optimal parameter settings without human intervention, eliminating the need for manual tuning of complex parameters
Solution Approach 2:
The system uses feedback from frequency response measurements at multiple listening positions to iteratively adjust audio signal processing parameters, creating a closed-loop optimization process that converges to optimal settings
3Manufacturing precision
If conventional automated solutions adjust delays and gains to maximize constructive interference, then the frequency response is improved at specific positions, but the ability to fully optimize complex audio systems with highly varying listening positions is limited
Solution Approach 1:
The system extends optimization from single-position to multi-position by incorporating spatial dimension, measuring and optimizing frequency responses at multiple listening positions simultaneously to achieve balanced audio across the entire listening area
Data Source
AI summary
A computer-implemented method for determining audio signal processing parameters for a multi-channel audio system including a plurality of speakers is disclosed. The method involves obtaining at least one first audio response at a first listening position and at least one second audio response at a second listening position, where each audio response corresponds to a respective channel audio signal output by a respective speaker over a predetermined frequency range. The audio signal processing parameters are determined based on a similarity metric calculated between the first and second audio responses over at least a part of the predetermined frequency range. The determined audio signal processing parameters are then provided for further processing of at least one of the channel audio signals, enabling optimization of the audio system's performance across multiple listening positions.