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The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe
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Mitigating wind noise with a spherical microphone array.

Sipei Zhao1, Matthew Dabin1, Eva Cheng2

  • 1School and Engineering, RMIT University, Melbourne, Australia.

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|January 3, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using a spherical microphone array to effectively reduce wind noise. The technique filters wind noise in the spherical harmonic domain, preserving desired sound signals with over 10 dB reduction.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Noise Reduction

Background:

  • Wind noise significantly corrupts sound measurements, especially in outdoor or airflow environments.
  • Traditional noise reduction methods often degrade the quality of the desired sound signal.
  • Spherical microphone arrays offer advanced spatial audio capture capabilities.

Purpose of the Study:

  • To develop and validate a method for reducing wind noise using a rigid spherical microphone array.
  • To differentiate and suppress wind noise from desired sound signals in the spherical harmonic domain.
  • To assess the effectiveness of the proposed method in preserving sound pressure level (SPL).

Main Methods:

  • Utilizing a rigid spherical microphone array for sound and wind noise measurement.
  • Analyzing sound and wind noise in the spherical harmonic domain.
  • Applying a low-pass filter in the spherical harmonic domain to reduce wind noise.
  • Conducting experiments in an anechoic chamber with controlled sound and wind sources.

Main Results:

  • Wind noise distribution in the spherical harmonic domain is irregular, unlike the concentrated sound signal.
  • The proposed filtering method successfully reduced wind noise by over 10 dB below 500 Hz.
  • Desired sound SPL was extracted with an error within 1.0 dB, even with 8 dB lower sound levels than wind noise.

Conclusions:

  • The spherical harmonic domain filtering method effectively reduces wind noise while preserving the desired sound signal.
  • This technique offers a robust solution for acoustic measurements in the presence of significant wind noise.
  • The method demonstrates high accuracy in extracting target sound signals under challenging noisy conditions.