First- and Second-level Bayesian Inference of Flow Resistivity of Sound Absorber and Room’s Influence

Sang-Hyeon Choi, Ikjin Lee, Cheol-Ho Jeong

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Abstract

Sabine absorption coefficient is a widely used one deduced from reverberation time measurements via the Sabine equation. First- and second-level Bayesian analysis are used to estimate the flow resistivity of a sound absorber and the
influences of the test chambers from Sabine absorption coefficients measured in 13 different reverberation chambers. The first-level Bayesian analysis is more general than the second-level Bayesian analysis. Sharper posterior distribution can be acquired by the second-level Bayesian analysis than the one by the first-level Bayesian analysis because more data are used to set more reliable prior distribution. The estimated room’s influences by the first- and the second-level Bayesian analyses are similar to the estimated results by the mean absolute error minimization.
Original languageEnglish
Title of host publicationWinter meeting proceedings of the Korean Society of Mechanical Engineers
Number of pages4
Publication date2016
Publication statusPublished - 2016
EventWinter Meeting proceedings of the Korean Society of Mechanical Engineers - Kangwon, Korea, Republic of
Duration: 14 Dec 201616 Dec 2016

Conference

ConferenceWinter Meeting proceedings of the Korean Society of Mechanical Engineers
CountryKorea, Republic of
CityKangwon
Period14/12/201616/12/2016

Keywords

  • Bayesian Inference
  • Absorption Coefficient
  • Flow Resistivity
  • Room’s Influence

Cite this

Choi, S-H., Lee, I., & Jeong, C-H. (2016). First- and Second-level Bayesian Inference of Flow Resistivity of Sound Absorber and Room’s Influence. In Winter meeting proceedings of the Korean Society of Mechanical Engineers