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Related Concept Videos

Echo01:06

Echo

644
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
644

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Scattering And Absorption of Light in Planetary Regoliths
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Angle-dependent sound absorption estimation using a compact microphone array.

Mansour Alkmim1, Jacques Cuenca1, Laurent De Ryck1

  • 1Siemens Digital Industries Software, Interleuvenlaan 68, B-3001 Leuven, Belgium.

The Journal of the Acoustical Society of America
|October 31, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel microphone array method for accurately measuring angle-dependent sound absorption coefficients of materials. The technique offers improved robustness and reduced uncertainty, especially at low frequencies.

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Area of Science:

  • Acoustics
  • Materials Science
  • Signal Processing

Background:

  • Accurate measurement of sound absorption coefficients is crucial for architectural acoustics and material design.
  • Traditional methods may lack precision, especially for angle-dependent properties and at lower frequencies.
  • Existing techniques often require specialized setups or are limited in scope.

Purpose of the Study:

  • To develop and validate a compact microphone array method for estimating the angle-dependent sound absorption coefficient.
  • To generalize the classical two-microphone method for enhanced accuracy and broader applicability.
  • To assess the method's robustness against uncertainties and compare its performance with existing techniques.

Main Methods:

  • Utilizing a compact microphone array with irregularly spaced microphones normal to the surface to capture the pressure field.
  • Employing models based on in-going/out-going waves or image sources for sound field description.
  • Investigating the benefit of additional microphones parallel to the sample for improved data acquisition.
  • Validating the approach against the transfer matrix method and various surface models.
  • Performing Monte Carlo simulations to evaluate sensitivity to microphone position uncertainties.

Main Results:

  • The proposed method successfully estimates angle-dependent sound absorption coefficients.
  • Measurements on melamine foam and gravel samples demonstrate reduced uncertainty in estimations.
  • The method shows improved robustness compared to the traditional two-microphone technique, particularly at low frequencies.
  • Validation against established methods confirms the accuracy and reliability of the new approach.

Conclusions:

  • The developed compact microphone array method provides a robust and accurate means for measuring angle-dependent sound absorption.
  • This technique offers significant advantages over the two-microphone method, especially in low-frequency applications.
  • The findings contribute to more precise material characterization in acoustics and related fields.