• 제목/요약/키워드: Sound Qualify index

검색결과 7건 처리시간 0.027초

감성공학을 기초한 진공청소기의 음질 인덱스 개발 (Development of Index for Sound Quality Evaluation of Vacuum Cleaner Based on Human Sensibility Engineering)

  • 구진회;이상권;전완호;김창준
    • 한국소음진동공학회논문집
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    • 제15권7호
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    • pp.821-828
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    • 2005
  • In our life, we have used many digital appliances. They help us to improve the quality of life but sometimes give us unsatisfactory result. Because they produce specific noise. Especially vacuum cleaner produce much noise that is very annoying. So we need to study what sound metrics affect human sensibility. In this paper, we develop sound quality index for vacuum cleaner using the sound quality metrics defined in psychoacoustics. First, we carry out the subjective evaluation of vacuum cleaner sound to verify what vacuum sound feels good to human. And then artificial neural network estimated the complexity and the nonlinear characteristics of the relations between subjective evaluation and sound metrics. Finally the ANN is trained repeatedly to have a good performance for sound qualify index of the vacuum cleaner. As a result, the sound quality index of vacuum cleaner has a correlation of $93.5\%$ between the subjective evaluation and ANN. So, there exist three factors that Is loudness, sharpness, roughness which affect the sound quality of vacuum cleaner.

도시 환경음의 음질 평가 (Evaluation of Sound Quality for Urban Environmental Sound)

  • 박현구;신용규;김항;송민정;김선우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 춘계학술대회논문집
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    • pp.529-534
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    • 2005
  • This study performed an physical analysis on the characteristics of urban environmental sound divided into three parts depending on their features. Object sounds were classified into traffic sound, waster sound and spatial sound. Traffice sound was selected because it is dominant sound in urban environment, and water sound is selected because it generally supplies pleasantness in contrast to traffic sound, Finally spatial sound was considered because it represents sound in various places of city having lots of behaviors and types of sound due to them. Physcal analysis was carried out using sound quality indices based on Zwicker's loudness, $L_{Aeq}$(equivalent noise level), Ln(percentile noise level) and other acoutical attributes applied to previous study. Through the analysis, this study aims to compare the acoustical characteristics of urban environmental sound and to provide fundamental data for the evaluation of urban environmental sound.

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인공지능망을 이용한 냉장고 정상 가동 운전 상태의 음질 인덱스 개발 (A Study on Development of Sound Quality Index of a Refrigerator Based on Human Sensibility Engineering)

  • 구진회;김중래;이은영;이상권
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 춘계학술대회논문집
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    • pp.991-996
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    • 2004
  • The international competition in refrigerator markets has continuously required the research for sound quality of a refrigerator to improve the quality of a life. In this paper, A new method for evaluation of the sound quality of a refrigerator is developed based on human sensibility engineering by using ANN(Artificial neural network). Finally it is applied to evaluate the sound qualify of refrigerator on the production line.

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차량의 실내소음에 대한 음질평가 연구 (Study on the Evaluation of Sound Quality of a Vehicle Interior Noise)

  • 이종규;채장범;장한기
    • 한국소음진동공학회논문집
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    • 제15권8호
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    • pp.945-953
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    • 2005
  • The purpose of this paper is to develop a linear regression model for the sound quality index of vehicle Interior noise. For this, objective measurement data of the vehicles driving in acceleration was measured. On the basis of analysis, psychoacoustic parameters were extracted and subjective evaluation was performed by noise and vibration expert evaluators. For the subjective evaluation, the paired comparisons and the semantic differential methods were used to evaluate sound quality of vehicle interior noise. By the paired comparison which evaluate two pairs of vehicle interior noise, the preference was estimated. With the semantic differential and the factor analysis, it was evaluated words of two pairs which expressed appropriately the sense of evaluator about noise source. Therefore the characteristics of the sound qualify for the vehicle were differentiated. From the results of both the correlation analysis and the multiple factor regression analysis, the sound quality evaluation model for the sense of human hearing was derived and indexed.

ACF 및 심리음향 파라미터에 의한 냉장고 소음의 Sound qualify 평가 (Sound Quality Characteristics of Refrigerator Noise in relation to Autocorrelation Function and Psychoacoustical Parameters)

  • 전진용;사토신이치
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 추계학술대회논문집
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    • pp.661-665
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    • 2006
  • This study investigates objective and subjective evaluations of refrigerator noise. To describe the fluctuations like a click, a rapid increase of sound level, a change of pitch, a transition into the stationary and ending phase, the psychoacoustical and autocorrelation function(ACF) parameters have been employed. First, subjective evaluation of the noisiness of 24 kinds of refrigerators was conducted. Then, the relationship between objective measures of the refrigerator noise on perceived noisiness was examined with multiple regression analyses. Sound Quality Indices using the psychoacoustical and ACF parameters were also developed. The important psychoacoustical parameters for evaluating noisiness are loudness and roughness of stationary phase. The relationship between the noisiness and the ACF parameters shows that sound energy ${\Phi}(0)$ and its fluctuations are important. Also, refrigerator sounds that had a fluctuation of pitch were rated as more annoying. The fluctuation of pitch is expressed by ${\tau}_1\;and\;{\Phi}_1$ defined by the delay time and the amplitude of the first peak of the ACF.

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사운드스케이프 연출 요소에 관한 고찰 (Elements of Sound Sources for Soundscape)

  • 전지현;장길수;김선우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 추계학술대회논문집
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    • pp.796-801
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    • 2004
  • The thing that should be considered preferentially when we introduce sounds to the space we are living in is to clarify the notion - for whom when, what kinds of sounds, where, for what and how to. There are two physical habitate conditions which affect the quality of soundscape. The one is 'Background sound' of the space which should be masked or applied in accordance with its qualify. The other is features of the habitat which would be the factor building up ambience and the index for us to decide specificities of the sounds to be introduced. Selecting or producing the sounds to be introduced, we should consider those to make these represent the community, influence people's behavior, be in harmony with surroundings, and give the identity to the space. There are two ways to introduce the sounds. The one is to put sound sources which actually make the sound. The other is to put the sounds without practical sound source but with objects related to those. For later, it's important not to introduce the sounds people prefer but what would be in harmony with the place. In this study, we've researched what kinds of sounds could be utilized for soundscape designing. And, we've studied if those can be, how those should be introduced and what other factors should be considered.

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도심교통소음의 노출시간에 대한 불쾌도 및 소음크기 감각량 변화 고찰 (A Study of the Perception Annoyance and Loudness according to Exposition Time for the Traffic Noise)

  • 조경숙;허덕재
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.1276-1279
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    • 2006
  • This article on environmental noise qualify is concerned with the relationships between the annoyance and perception and sound quality metrics according to exposition time for traffic noise. For invested the characteristics of noise quality, we conducted to the subjective experiments of the annoyance response using the absolute 100 scaling method for the traffic noise sources. The traffic noise sources are composed to varieties exposition time from 15sec to 1200sec. As the results, the first there are decreased the perception loud level for the increase of exposition time with logarithm scale, but increased the annoyance. Second, evaluation index of annoyance is correlated to the loudness(sones), tonality and logarithm scale time with R2=0.83. Also, the composition ratio of traffic noise according to exposition time has the change of range as the logarithm scale ($30{\sim}50%$), tonality($27{\sim}37%$) and loudness($34{\sim}20%$).

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