• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.9-17
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• 2006

As is commonly said, music is 'language of emotions.' It is because sound is a plentiful modality to communicate the human sensibility information. However, most researches of auditory displays were focused on improving efficiency on user's performance data such as performance time and accuracy. Recently, many of researchers in auditory displays acknowledge that individual preference and sensible satisfaction may be a more important factor than the performance data. On this ground, in the present study we constructed the sound sensibility dimensions ('Pleasure', 'Complexity', and 'Activity') and systematically examined the attributes of sound on the sensibility dimensions and analyzed the meanings. As a result, sound sensibility dimensions depended on each sound attributes , and some sound attributes interact with one another. Consequently, the results of the present study will provide the useful possibilities of applying the affective influence in the field of auditory displays needing the applications of the sensibility information according to the sound attributes.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.5
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• pp.37-44
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• 2010

Impact noise is induced in a car when it is driven on a harsh road or over some bumps. This noise occurs with the very high level of sound, which affects passengers in some way or other. Although it is impossible to clearly remove such noise, it is necessary to research an improvement in sound quality for impact noise. A new sound metric for impact sound is presented. This metric is verified by comparison between mean subjective ratings and several sound metrics. In this paper, more objective attributes are considered, which the attributes are expressing the level and modulation of sound. Three sound metrics are employed to get impact sound indexes for each course by the method of multiple linear regressions. The indexes are verified by considering the correlation between the estimated values from the multiple linear regressions and the mean subjective ratings by evaluators. Also, the subjective ratings on the indexes are estimated for the case in which some parts of suspension system are changed. The estimated ratings represent more reasonable or acceptable ratings. Thus, such indexes can be used for modification of the parts of suspension system under considering a good sound quality.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2012.04a
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• pp.348-353
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• 2012

This paper presents the HRTF based experimental approach to figure out why the human auditory perception on the interior noise source including the directional tonal components does not well match with the dominant features extracted from recorded acoustic signals in terms of psycho-acoustics. Since the general objective evaluation models for tonalness among various sound attributes are a function of width, frequency, excessive level of tonal components respectively, the directional tonal components cannot be properly evaluated without considering the effects of head-related transfer function on the binaural auditory perception. Thus, the directivity of source is additionally considered to prevent the erroneous conclusions from the same sound source in the process of source identification. The signal synthesis technique is used to solve a little difficulty in measuring all of desired acoustic signals for jury evaluation. The sound attributes of synthetic acoustics signals are analyzed to roughly predict the results of jury evaluation in advance by using sound quality factors such as loudness, sharpness, roughness, fluctuation strength and tonality. The jury evaluation is carefully conducted based on the recommended guideline suggested by N. Ottoet al. Each sound is respectively evaluated by selecting a value between -2 and 2 in intervals of 0.2 point. Through above procedure, based on the results of jury evaluation, it is confirmed that serious problems can be caused in the process of analyzing the dominant sound attributes in terms of psycho-acoustics according to the type of a microphone and a playback system.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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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.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.10a
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• pp.137-142
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• 2009

Impact noise is induced in a car when it is driven on a harsh road or over some bumps. This noise occurs with the very high level of sound, which affects passengers in some way or other. Although it is impossible to clearly remove such noise. It is necessary to research an improvement in sound quality for impact noise. A new sound metric for impact sound is presented in the previous work. This metric is verified by comparison between mean subjective ratings and several sound metrics. In this paper, more objective attributes are considered, which are the attributes expressing the level and modulation of sound. Three sound metrics are employed to get impact sound indexes for each course by the method of multiple linear regressions. The indexes are verified by considering the correlation between the estimated values from the multiple linear regressions and the mean subjective ratings by evaluators. Also, the subjective ratings on the indexes are estimated for the case in which some parts of suspension system are changed. The estimated ratings represent more reasonable or acceptable ratings. Thus, such indexes can be used for modification of the parts of suspension system under considering a good sound quality.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.215-224
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• 2010

This paper is designed to investigate the attributes of sound and emotion resided in traditional Eastern thought by looking into acoustic theories such as Sunguarakron (聲有哀樂論) in Akgi(樂記), Sungmuaerakron(聲無哀樂論) of Haegang and Akhakgebum(樂學軌範), Chongiron(天機論) in Choson(朝鮮) dynasty. Six types of emotions, namely sadness, pleasure, happiness, anger, respect, and, affection (哀心, 樂心, 喜心, 怒心, 敬心, 愛心) which is related with sounds was closely reviewed through Akgi(樂記). Also attributes of sounds such as loudness, sharpness, pitch, roughness, fluctuation strength and pleasantness was corresponded with plain & complicated(單複), pitch, good & bad(善惡) slow & fast(舒疾), loud & quiet(猛靜) respectively. In addition to this, this paper is narrowed down that the basic ideas about sound and emotions of Choson(朝鮮) confucian scholar was based on theory of music and rhythm on Akgi(樂記). Furthermore, the relationship between expressed sound and emotions which was revealed in Chongiron(天機論) has been examined. Finally, various applied research and studies will be promoted through this study, because this study will provide foundation which supports sounds and emotions of Eastern.

• Journal of KSNVE
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• v.9 no.5
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• pp.991-997
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• 1999

It is getting higher the demand on a good sound in a car. Like some other sensory qualities, achieving a good sound is still treated as a black-box followed by the individual taste of tuning engineers. This study aims to define the attributes of a good car audio sound and the assessment factors affecting the sound quality. With a variety of surveys on professional listening groups and car audio installers, 26 most frequently used vocabularies are selected as typical presentations of car audio sound quality. After repetitions of listening tests with deliberately selected test CD, pre-recorded 15 different digital car-recordings, headphones replay system, and three different listening groups, it is proved that there are at least 5 different assessment factors which significantly affect the car audio sound quality. They are high fidelity, spectral balance, tonal accuracy, sound stage and acoustic fault.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11b
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• pp.511-516
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• 2002

Pitch is a perception related to the subjective frequency that is one of the psychological aspects or attributes of tones. It is also an important factor to determine the sound quality together with loudness and timber. Although the study on pitch has been active in the field of speech communication, but its application to the product sound quality is not yet enough. In this study, the empirical data by Zwicker is made use in the modification of the currently available pitch extraction model based on the place theory. By applying this modified model to various sound samples composed of tonal or banded components, the applicability of the model is suggested. As a demonstration example, the algorithm is used for the sound quality analysis of a product noise having fundamental frequency and harmonics. The result shows that the pitch should be regarded as an important subjective cue in the sound quality analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.453-455
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• 2022

Metadata is data that explains attributes and features to the data as structured data. Among them, video metadata refers to data extracted from information constituting the video for accurate content-based search. Recently, as the number of users using video content increases, the number of OTT providers is also increasing, and the role of metadata is becoming more important for OTT providers to recommend a large amount of video content to individual users or to search appropriately. In this paper, a study was conducted on a method of automatically extracting metadata for mood attributes through sound effects of images. In order to classify the sound effect of the video and generate metadata about the attributes of the mood, I would like to propose a method of establishing a terminology dictionary for the mood and extracting information through supervised learning.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11a
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• pp.354.1-354
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• 2002

Pitch is a perception related to frequency, one of the psychological aspects or attributes of tones, and an important factor to determine sound quality of sound together with loudness and timber. while a study on pitch has been actively achieved In the part of speech recognition and speech separation, that for analysis and improvement of product sound quality is not yet enough. (omitted)