Measurement-based fuzzy interpolation of room impulse responses

C. Huszty, B. Németh, P. Baranyi, F. Augusztinovicz

Research output: Contribution to journalConference article

Abstract

Application of room impulse responses (RIRs) to acoustic evaluation and auralization often requires many measurements to get enough information about the hall, or to provide enough flexibility for virtual sound source placements in convolution reverberation. In this paper we propose a measurement-based fuzzy modeling method to approximate the RIR function at an arbitrary location between available measured points, without apriori information on the hall geometry or wall reflection parameters. For the fuzzy model identification we define an accuracy indicator of the spatial density of the source positions and predict the required number of them in a selected hall. This indicator quantifies the relationship of the early reflections, determined for various measured positions. This paper also proposes a method that treats non-uniform spatial sampling of the measurement positions, and its implementation for 2D cases is shown. Non-uniform spatial sampling can be useful when RIRs at some source positions - e.g. positions of musicians on a stage of a concert hall - are known or have to be measured precisely, but RIRs at locations in between require an approximation only. The proposed fuzzy model of RIRs actually transforms the measured information into a uniform and tensor product form, enabling the analyst to use further matrix and tensor algebra based numerical methods.

Original languageEnglish
Pages (from-to)5827-5832
Number of pages6
JournalProceedings - European Conference on Noise Control
Publication statusPublished - Dec 1 2008
Event7th European Conference on Noise Control 2008, EURONOISE 2008 - Paris, France
Duration: Jun 29 2008Jul 4 2008

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ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Public Health, Environmental and Occupational Health
  • Building and Construction
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Automotive Engineering
  • Aerospace Engineering

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