通过分析声学相似性，量化房间环境变化对混响响应的影响。
Sensitivity of Room Impulse Responses in Changing Acoustic Environment
- 用短时相干性分析连续采集的混响响应变化
- 能区分空气波动、吸声变化和人体移动等不同干扰
- 适合做声学监测与智能空间感知的研究者参考
房间声学环境的变化，如表面吸声特性调整或引入散射体，会显著影响测量到的房间混响响应（RIR）。这些变化可能影响回声消除、主动声学系统及导航、物体追踪等任务的性能。因此，识别并量化此类变化对基于声学技术的发展至关重要。本研究提出一种通过评估连续记录的RIR相似性来分析声学环境变化的方法。采用短时相干性表征变化，包括墙壁吸声率改变或室内人员移动。进一步引入敏感度评分以量化变化程度。结果明确区分了大气变化、吸声变化和人体存在三类扰动。该方法为分析与解释房间声学提供了新视角，强调了RIR相似性，并从时域与频域信号特征中提取信息。
原文摘要 · Abstract (English)
Changes in room acoustics, such as modifications to surface absorption or the insertion of a scattering object, significantly impact measured room impulse responses (RIRs). These changes can affect the performance of systems used in echo cancellation and active acoustics and support tasks such as navigation and object tracking. Recognizing and quantifying such changes is, therefore, critical for advancing technologies based on room acoustics. This study introduces a method for analyzing acoustic environment changes by evaluating the similarity of consecutively recorded RIRs. Short-time coherence is employed to characterize modifications, including changes in wall absorption or the presence of a moving person in the room. A sensitivity rating is further used to quantify the magnitude of these changes. The results clearly differentiate between types of modifications -- atmospheric variation, changes in absorption, and human presence. The methods described provide a novel approach to analyzing and interpreting room acoustics, emphasizing RIR similarity and extracting information from temporal and spectral signal properties.
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