• Title/Summary/Keyword: 라우드니스

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Predicting the subjective loudness of floor impact noise in apartment building using neural network analysis (Neural Network Analysis를 이용한 공동주택 바닥충격음의 주관적 라우드니스 예측)

  • You, Byoung-Cheol;Jeon, Jin-Yong;Cho, Moon-Jae
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11a
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    • pp.351.1-351
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    • 2002
  • In this research, the relationship between physical measurements and subjective evaluations of floor impact noise in apartment building was quantified by applying the neural network analysis due to its complex and nonlinear characteristics. The neural network analysis was undertaken by setting up L-value, inverse A index, Zwicker parameters and ACF/IACF factors, as input data, which came from the measurements at real suites of apartment building having various sound insulations. (omitted)

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Colour Effect on the Loudness Perception of Road Traffic Noise (색채가 소음의 라우드니스 평가에 미치는 영향)

  • Shin, Yong-Gyu;Park, Hyeon-Ku;Kook, Chan;Jang, Gil-Soo;Kim, Sun-Woo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2006.05a
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    • pp.730-733
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    • 2006
  • This study aims to offer psychological stability and pleasure by reducing noise perception using appropriate visual information which fit to the situation and useful data for the soundscape design. The results can be summarized as follows; 1) In the Loudness evaluation of the visual information with green colored scenary showed lower evaluation rather than the other colors. 2) With the Green and Blue colored scenary with road traffic and shopping street alongside the road, lower perception of road traffic noise was showed. 3) With the White and Red scenary higher evaluation was showed than the original sound, but with the Green colored scenary lower evaluation was showed than the standard sound.

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Evaluation of loudspeaker performance considering human auditory characteristics (인간의 청각특성을 고려한 스피커의 성능평가법)

  • 방희석/안철용/성굉모;안철용;성굉모
    • Science of Emotion and Sensibility
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    • v.1 no.1
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    • pp.171-179
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    • 1998
  • 스피커의 음질을 평가하기 위해서 가장 많이 측정하는 것은 주파수 응답이다. 그러나 주파수 응답으로부터 바로 스피커의 성능을 평가하기는 어려운데, 이는 인간의 청각특성이 주파수나 음압에 대해 선형적인 관계를 가지지 않기 때문이다. 본 논문에서는 인간의 청각특성 중 24개의 임계대역과 라우드니스 등을 이용하여 스피커의 성능을 평가하는 방법을 제안한다. 본 논문에서 제안하는 방법은 지향서을 고려하여 스피커의 주파수 응답을 구한 후 이를 이상적인 스피커의 주파수 응답과 임계대역-라우드니스 영역에서 비교하여 음질평가지수를 산출한다. 제안된 방법에 의한 스피커의 성능 평가법은 신뢰도가 가장 큰 문제가 되므로 청취평가를 수행하여 그 결과와 비교하고 상관관계를 보였다. 제안된 방법에 의한 결과와 청취평가의 결과는 0.9765의 높은 상관관계를 가졌는데, 이는 본 논문에서 제안하는 방법이 청취평가 대용으로 훌륭히 사용될 수 있음을 의미한다.

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Objective Evaluation of Vehicle Interior Noise in Transient Operation (주행중 차실 내부 소음의 평가)

  • Jeong, Hyuk;Ih, Jeong-Guon
    • Journal of KSNVE
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    • v.6 no.4
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    • pp.499-502
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    • 1996
  • Interior noise, engine speed and vehicle speed are measured under transient road-load condition and interior noise signal is transformed by using the transient signal analysis methods, such as the spectrogram and wavelet transform. Using the analyzed results, subjective noise metrics such as the loudness, sharpness and articulation index at each vehicle speed can be estimated and characteristics of interior noise for various running modes can be discussed in the viewpoint of noise quality.

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Sound quality metrics to express the discomfort of overload excavator noise during operation (과부하 굴삭기 소음의 불쾌감 표현인자)

  • Sim, Sangdeok;Song, Ohseop
    • The Journal of the Acoustical Society of Korea
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    • v.37 no.3
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    • pp.147-155
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    • 2018
  • In this paper, we tried to find out sound quality metrics to express discomfort of overload excavator noise and to develop sound quality indexes through multiple regression analysis by using them. For this purpose, the interior noise of cabin under overload condition was recorded for six excavator models with different noise properties and Jury test was carried out by PCM (Paired Comparison Method) and MEM (Magnitude Estimation Method). Jury test result with low consistency was classified into two groups with different preference tendencies by cluster analysis and multiple regression analysis was conducted in order to find out which sound quality metrics have significant effects on discomfort(low preference). As a result, we figured out that the sound quality metrics to express the discomfort were the partial loudness (= $PN_{10Bark}$) between 0 and 10 Bark in case of group1 and the difference between engine noise(= $dB_{EG}$) and hydraulic system noise ($dB_1$) in case of group2. Using the results of preference ranking and tendency analysis of PCM followed by the correlation analysis between PCM and MEM, the more reliable results were adopted by excluding the data with low consistency obtained from Jury test via MEM.

Noise evaluation method of DC motor according to change of load (부하에 따른 DC모터 소음 평가법)

  • Cha, Su-Ho;Shin, Sung-Hwan
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.2
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    • pp.113-119
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    • 2020
  • Motor noise is a major concern in order to improve perceptual feeling of car interior sound due to increased motor usage in passenger cars. The purpose of this study is to propose factors that can represent the acoustic performance of motor noise according to the change of load. To this end, at first, it is shown that power spectrum and total loudness are not fit for noise performance, and then, PNB, partial loudness related to the brush friction component, and PNR, partial loudness related to the torque ripple component are investigated as factors representing motor noise. The performance curve of motor noise using PNB and PNR is proposed to identify trends of motor noise according to the loads. The curve could be a guide for the noise control, the selection of motor, and the improvement of a system.