仅用一个麦克风在线估算声速，提升多通道音频的空间控制精度。
Online Single-Channel Audio-Based Sound Speed Estimation for Robust Multi-Channel Audio Control
- 利用播放信号的结构化失真，通过参数化声学模型估计声速。
- 仿真显示能准确追踪不同输入下的声速变化，提升声区控制性能。
- 适合传感器受限的实时音频系统，无需额外校准或多个麦克风。
稳健的空间音频控制依赖于精确的声传播模型，但环境变化（尤其是声速波动）会导致系统性偏差，降低性能。现有方法或假设声速已知，或需多个麦克风，或依赖独立校准，难以应用于传感资源有限的系统。本文提出一种在线声速估计算法，在常规多通道音频播放过程中运行，仅需一个观测麦克风。该方法利用声速对重放信号的结构化影响，通过最小化实测音频与参数化声学模型之间的差异来估计声速。仿真结果表明，该方法可准确跟踪多种输入信号下的声速变化；当将估计值用于声区控制框架中补偿传播误差时，空间控制性能显著提升。
原文摘要 · Abstract (English)
Robust spatial audio control relies on accurate acoustic propagation models, yet environmental variations, especially changes in the speed of sound, cause systematic mismatches that degrade performance. Existing methods either assume known sound speed, require multiple microphones, or rely on separate calibration, making them impractical for systems with minimal sensing. We propose an online sound speed estimator that operates during general multichannel audio playback and requires only a single observation microphone. The method exploits the structured effect of sound speed on the reproduced signal and estimates it by minimizing the mismatch between the measured audio and a parametric acoustic model. Simulations show accurate tracking of sound speed for diverse input signals and improved spatial control performance when the estimates are used to compensate propagation errors in a sound zone control framework.
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