• Title/Summary/Keyword: Noise Evaluating Vocabulary

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A Study on the Power Level Measurement and Evaluating Vocabulary of H.D. TV Sets -Focused on LCD·PDP Tv Sets- (고화질 TV Set의 음향 파워 레벨 측정 및 평가 어휘 선정에 관한 실험적 연구 - LCD·PDP TV Set를 중심으로 -)

  • Lee, Tai-Gang;Park, Hyeon-Ku;Lee, Ju-Yeob;Lee, Jai-Cheon;Shin, Jong-Keun;Kim, Hye-Jin;Kim, Sun-Woo
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.15 no.9 s.102
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    • pp.1092-1099
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    • 2005
  • This experimental study deals with the characteristics of LCD or PDP TV set noise, which are differ form those of CRT TV set. These characteristics are most important for establishing the effective method to reduce noise level, searching for the appropriate exposure level and evaluation method of LCD or PDP TV set noise. This study adopt two measurement method to specify the power level of LCD or PDP TV set noise in anechoic room(ISO 3741) and reverberation room(ISO 3745) . Comparing with each results of the two method, the reverberation room method is more simple in measuring and calculating the power level. And the subjective response test are carried out to select the pair of appropriate adjectives to present the characteristics of LCD or PDP TV set noise. The pair of 17 adjectives are selected from the 168 adjectives which are used in presenting the sound and noise form literature.

An Experimental study on the Proper Vocabulary for Evaluating Traffic Noise by Psycho-acoustic Experiment (청감실험에 의한 교통소음 적정 평가어휘 조사에 관한 실험적 연구)

  • Lee, Ju-Yeob;Kim, Hang;Jun, Ji-Hyun;Gi, No-Gab;Song, Min-Jeong;Jang, Gil-Soo;Kim, Sun-Woo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.786-789
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    • 2004
  • For the accurate evaluation of traffic noise with various spectrums and fluctuation characteristics, evaluation systems should reflect not only physical quantities but also the psychological respects of individual persons. In this study, adequate words for evaluating traffic noise have been extracted by reviewing the existing vocabularies and augmenting this with the results of a questionnaire prepared especially for apartment dwellers. As a result of this study, followings are suggested. 1) Vocabularies such as 'disagreeable', 'annoying', 'strident', 'disturbed', 'irritate', 'unpleasant', 'dislike' are classified into the first factor by factor analysis. 2) As a result of surveying overlapping vocabularies for each sound sources, 'noisy', 'annoying', strident', 'unpleasant', 'loudness' are main unpleasant vocabularies to franc noise occurring in our domestic apartment houses.

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An Experimental Study on the noise Rating of H.D. TV sets by Psycho-acoustic Experiments (청감실험을 통한 고화질 TV set 소음평가에 관한 실험적 연구)

  • Lee, Ju-Yeob;Park, Hyeon-Ku;Lee, Tai-Gang;Kim, Hye-Jin;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.862-869
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    • 2006
  • The purpose of this study is to propose the proper vocabularies for evaluating H.D TV set fan noise in residential condition. To achieve this goal, psycho-acoustic experiments were carried out with TV set fan noise modulated at specific frequency band. finally, a correlation analysis between vocabularies, and a factor analysis of psycho-acoustical responses were conducted. As a result of this study, followings are suggested. Analyzing the psycho-acoustical response corresponding to the various sound level, the higher the sound levels, the higher the response values were. It is estimated that the sound level determined psycho-acoustical responses. On the degree of response to fan noise, the initial level of negative feeling is located on $35{\sim}40$ dB(A). The factor of evaluating H.D. TV set fan noise has induced three the appropriate korean adjectives; Irritate, Monotonous, stuffy and dryness. The result of this study may be used to evaluate the acoustic threshold level for indoor noise or a basis for specifying the desired acoustic environment of dwellings.

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An Experimental Study on the Noise Evaluation of H.D. TV sets by Psycho-acoustic Experiments (청감실험을 통한 고화질 TV set 소음평가에 관한 실험적 연구)

  • Lee, Ju-Yeob;Lee, Tai-Gang;Kim, Hye-Jin;Kim, Sun-Woo
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.16 no.10 s.115
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    • pp.1014-1023
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    • 2006
  • The purpose of this study is to propose the proper vocabularies for evaluating H.D TV set fan noise. To achieve this goal, psycho-acoustic experiments were carried out with TV set fan noise modulated at specific frequency band. Finally, a correlation analysis between vocabularies, and a factor analysis of psycho-acoustical responses were conducted. As a result of this study, followings are suggested. Analyzing the psycho-acoustical response corresponding to the various sound level, the higher the sound levels, the higher the response values were. It is estimated that the sound level determined psycho-acoustical responses. On the degree of response to fan noise, the initial level of negative feeling is located on $35{\sim}40$ dB(A). The factor of evaluating H.D. TV set fan noise has induced three the appropriate korean adjectives; Irritate, Monotonous, stuffy and dryness. The result of this study may be used to evaluate the acoustic threshold level for indoor noise or a basis for specifying the desired acoustic environment of dwellings.

A Study on the Proper Vocabularies for Evaluating Floor Impact Sound in Apartment Houses Considering Rating Methods (평가방법을 고려한 공동주택 바닥충격음 평가어휘 선정에 관한 연구)

  • 이재연;김선우;송민정
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.7
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    • pp.626-631
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    • 2004
  • In this study, the extracted words from the former study such as annoying, loud, noisy, irritating, disagreeable, strident, disturbed, and dissonant are given to subjects in psycho acoustic experiment lab. And then, correlation analysis between the words and floor impact noise rating method were carried out. As a result of this study followings are suggested ‘Annoying’ is the word most accurately expressing the subjects’ unpleasant feeling of domestic floor impact noise. The results of this study could be basic materials for psycho acoustic experiments for criteria on floor impact noise and Sound Classification on Floor Impact Sound Insulation Performance.

A Research on Vocabulary Materialization for Evaluation of Architecture Plumbing Noise (건축설비소음 평가를 위한 어휘의 유형화에 관한 연구)

  • You, Hee-Jong;Jung, Eun-Jung;Kim, Jae-Soo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.19 no.4
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    • pp.346-354
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    • 2007
  • Recently, in accordance with the buildings are rapidly becoming to high-stories, large-sizes, and since the case that noise of equipment machinery, tool itself infringes the life environment is on increasing, this is becoming to the object of civil appeal. Accordingly, in order to set up a countermeasure against such equipment machinery noise, even a systemic evaluating method is required, up to now while the appraisal that considering on the physical characteristic only had been done, but the characteristic about subjective valuation was not reflected as yet. Therefore, in this research, through the 1st, 2nd Psycho-Acoustics Experiments, the 30 vocabularies were extracted for evaluation of the construction equipment noise. As the result of Element Analysis, the 3 Elements were extracted from these vocabularies, and it could be understood that these Elements have been trustfully selected. It is now considering that the extracted vocabularies as per the above result would be used to Psycho-Acoustic Evaluation on Equipment Noise, and Psycho-Acoustics Experiment.

Noise Elimination Using Improved MFCC and Gaussian Noise Deviation Estimation

  • Sang-Yeob, Oh
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.87-92
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    • 2023
  • With the continuous development of the speech recognition system, the recognition rate for speech has developed rapidly, but it has a disadvantage in that it cannot accurately recognize the voice due to the noise generated by mixing various voices with the noise in the use environment. In order to increase the vocabulary recognition rate when processing speech with environmental noise, noise must be removed. Even in the existing HMM, CHMM, GMM, and DNN applied with AI models, unexpected noise occurs or quantization noise is basically added to the digital signal. When this happens, the source signal is altered or corrupted, which lowers the recognition rate. To solve this problem, each voice In order to efficiently extract the features of the speech signal for the frame, the MFCC was improved and processed. To remove the noise from the speech signal, the noise removal method using the Gaussian model applied noise deviation estimation was improved and applied. The performance evaluation of the proposed model was processed using a cross-correlation coefficient to evaluate the accuracy of speech. As a result of evaluating the recognition rate of the proposed method, it was confirmed that the difference in the average value of the correlation coefficient was improved by 0.53 dB.