Presentation 2008-10-23
Verification of Estimating Individual Acceptable Levels Using a Logistic Prediction Model in Laboratory Experiments
Ryo TOHYAMA, Kenji FURIHATA,
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Abstract(in English) Noise annoyance is a good measure of comfort in daily activities. A logistic prediction model was constructed in previous paper to know individual acceptable noise levels. In this paper, experiments were made to verify the model proposed. The relationships between seven points annoyance scale and L_ that correspond to each word of the scale for 24 normal-hearing subjects were obtained. The correlation coefficient between the predicted values based on a pair of the experimental results and the measured values was 0.983. From the results, the model can predict the category of seven points annoyance scale for each subject from only one pair of L_ and annoyance response. Then, the measured acceptable noise levels and the predicted ones were compared. The coefficient correlation between experimental results and predicted by a pair of the experimental results was 0.743. In case of using averages of the experimental results, the correlation was 0.993. It can be said that some measurements are needed to obtain individual acceptable noise level.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Annoyance / L_ / Individual acceptable noise levels / Logistic function
Paper # EA2008-66
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Committee EA
Conference Date 2008/10/16(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Verification of Estimating Individual Acceptable Levels Using a Logistic Prediction Model in Laboratory Experiments
Sub Title (in English)
Keyword(1) Annoyance
Keyword(2) L_
Keyword(3) Individual acceptable noise levels
Keyword(4) Logistic function
1st Author's Name Ryo TOHYAMA
1st Author's Affiliation Department of Electrical and Electric Engineering, Faculty of Engineering, Shinshu University /()
2nd Author's Name Kenji FURIHATA
2nd Author's Affiliation
Date 2008-10-23
Paper # EA2008-66
Volume (vol) vol.2008
Number (no) 255
Page pp.pp.-
#Pages 6
Date of Issue