Sensitivity of Room Impulse Responses in Changing Acoustic Environment

2025-01-02

AI Summary

Dynamic acoustic environmental changes—such as variations in surface absorption, introduction of scattering objects, or human movement—significantly perturb room impulse responses (RIRs), degrading performance in echo cancellation and sound source localization. This paper proposes a novel RIR change quantification framework based on short-term coherence and sensitivity scoring, enabling online environmental change detection and classification via time-frequency similarity analysis of consecutive RIRs. To our knowledge, this is the first method capable of highly discriminative identification among three canonical acoustic disturbances: atmospheric fluctuations, absorptive surface changes, and human presence. Experimental validation in real rooms demonstrates robust sensitivity to sub-millimeter human displacements, confirming its capability to detect minute environmental variations. The framework provides an interpretable, quantifiable foundation for adaptive acoustic systems, bridging the gap between physical environmental dynamics and algorithmic responsiveness.

Technology Category

• Planning, Routing, and Scheduling: Activity and Plan Recognition
• Intelligent Robots: Manipulation
• Machine Learning: Calibration & Uncertainty Quantification

Application Category

• Responsible Web: Human-perceived consequences of algorithmic deployment on the web
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics

Abstract

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.

Problem

• Acoustic Environment Changes
• Echo Cancellation Performance
• Sound Technology Improvement

Innovation

• Acoustic Environment Monitoring
• Sound Reflection Characterization
• Indoor Sound Optimization