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Parameterization of the three-dimensional room transfer function in horizontal plane.

Bing Bu1, Thushara D Abhayapala2, Chang-chun Bao3

  • 1Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China bubing@emails.bjut.edu.cn.

The Journal of the Acoustical Society of America
|October 3, 2015
PubMed
Summary
This summary is machine-generated.

This study presents an efficient method for parameterizing the 3D room transfer function (RTF) that accounts for source and receiver position changes. The technique simplifies calculations for horizontal plane RTF coefficients, improving robustness and flexibility.

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Area of Science:

  • Acoustics
  • Signal Processing
  • Computational Physics

Background:

  • The three-dimensional room transfer function (RTF) is crucial for acoustic simulations and analysis.
  • Accurate parameterization of RTF is challenging due to source and receiver positional variations.
  • Existing methods may lack robustness or efficiency in handling positional changes.

Purpose of the Study:

  • To propose an efficient and robust parameterization of the 3D RTF.
  • To develop a method that is resilient to variations in source and receiver positions within horizontal planes.
  • To reduce the complexity of RTF coefficient extraction.

Main Methods:

  • Azimuth harmonic analysis is employed for RTF parameterization.
  • Associated Legendre functions are utilized to identify and remove irrelevant spherical harmonic coefficients.
  • A concentric circular array measurement structure is proposed for efficient coefficient extraction.

Main Results:

  • The proposed parameterization effectively handles positional variations of sources and receivers in horizontal planes.
  • A reduction in the number of necessary spherical harmonic coefficients is achieved.
  • Numerical simulations confirm the accuracy of the developed parameterization method.

Conclusions:

  • The novel RTF parameterization offers an efficient and robust solution for acoustic modeling.
  • The method simplifies data acquisition by enabling the use of concentric circular arrays.
  • This approach enhances the practical application of RTF in various acoustic scenarios.