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Short-time coherence between repeated room impulse response measurements.

Karolina Prawda1, Sebastian J Schlecht1,2, Vesa Välimäki1

  • 1Department of Information and Communications Engineering, Acoustics Lab, Aalto University, FI-02150 Espoo, Finland.

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Summary
This summary is machine-generated.

This study introduces a new method to measure how room impulse responses (RIRs) change over time. It uses short-time coherence to quantify atmospheric effects on sound reflections, improving measurement uncertainty assessment.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Environmental Monitoring

Background:

  • Room impulse responses (RIRs) are sensitive to environmental changes like temperature and humidity.
  • Existing methods struggle to account for subtle, time-varying discrepancies in RIRs.
  • Accurate RIR measurements are crucial for applications like audio processing and architectural acoustics.

Purpose of the Study:

  • To develop a model for quantifying time-variance in RIRs using short-time coherence.
  • To establish a method for assessing the uncertainty in RIR measurements caused by environmental fluctuations.
  • To provide a tool for predicting the impact of RIR averaging on high-frequency energy loss.

Main Methods:

  • Proposed a model of short-time coherence between repeated RIR measurements.
  • Characterized time-variance using a Generalized Wiener process for sound reflection time-of-arrival.
  • Introduced 'volatility' as a single parameter for coherence decay rate.
  • Validated the model through simulations and laboratory measurements.

Main Results:

  • Short-time coherence decreases exponentially with reflection-path length.
  • The model accurately estimates volatility (10^-6 s/s) under laboratory conditions.
  • Demonstrated the utility of coherence loss in predicting high-frequency energy loss from RIR averaging.

Conclusions:

  • Short-time coherence is a reliable indicator of time-frequency similarity and RIR changes.
  • The proposed method effectively quantifies RIR measurement uncertainty due to atmospheric variations.
  • This approach enhances the reliability of RIR comparisons and averaging, particularly in indoor environments.