• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.104-112
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• 2021

In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.361-364
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• 2022

This study was carried out for the purpose of Exploring the types of AI platforms for creative activities and how to use them. In order to learn AI in the fields of art creation and music creation, which are representative areas of creative activity, types of AI platforms that can experience AI and perform simple programming were investigated. In addition, the utilization plan was presented so that each AI platform can be used to express students' ideas abundantly and to enhance their creativity. Through this, it is meaningful to suggest that the AI platform can be used as a teaching aid to enhance students' expressive power and creativity in creative activities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.65-71
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• 2009

The end of the 1990s due to the rapid development of Internet communications and two-way communication advertising, public relations, online music, video, movies, e-Book, and distribution of digital content is actively underway. The combination of Internet and TV, as well as born of IPTV and interactive digital content industry's future has become a key industry. However, these two-way communication that illegal adult sites, illegal Bulletin, illegal Ads, PR, shopping mall, illegal music copying, video replication, such as negative due to the emergence of IPTV and is always around us and should be recognized. For example, on the Internet, which has been operating in the ocean sounds from the music copyright issue, the prosecution decided to prosecute because of the digital cultural content, copyright issues has become an important issue. Status and issues of this paper to learn the digital content, using intelligence to solve these problems, two-way communication advertising, public relations and practice of digital content, practices and courses of students vulnerable to offers for the analysis simulation.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.3
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• pp.226-232
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• 2016

The research for the improvement in math and science scores is active by the brain exercises, stress reliefs, and emotion sensitized illuminations. This principle is based on the following facts that the most effective brain turns are supported with the circumstances not only when the brain wave should keep stability and comfort in science criticism, but also when minimized stress and comfortable illumination should be adjusted in solving math problem. In this paper, in order to effectively learn mathematics and science, the most optimized simulating tests in learning conditions are conducted by using a stress relief. However, depending on the users' tastes, the effectiveness on favorite music or colors therapy have no convergency but many differentiations. Therefore, in this paper, in order to solve this problem, the proposed optimal illumination and music therapy treatment using fuzzy inference method.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.4
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• pp.371-377
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• 2013

This paper proposes three methods for improving the accuracy of auto-music transcription considering with time-varying tempo from monophonic sound. The first one that uses TV(Total Variation) filter for smoothing the pitch data reduces the fragmentation in the pitch segmentation result. Also, the measure finding method that combines three different ways based on pitch and energy of sound data, respectively as well as based on rules produces more stable result. In addition the temporal result of note-length encoding is corrected in optimal way that the resulted encoding minimizes the sum of quantization error in a measure while the sum of note-lengths is equal to the number of beats. In the experiment with 16 children songs, we obtained the improved result in which measure finding was complete, the accuracy of encoding for note-length and pitch was about 91.3 and 86.7, respectively.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.4
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• pp.301-307
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• 2016

This paper proposes a lyric search method to consider the characteristics of the user query. According to the fact that queries for the lyric search are derived from highlight parts of the music, this paper uses the hierarchical agglomerative clustering to find the highlight and proposes a Gaussian weighting to consider the neighbor of the highlight as well as highlight. By setting the mean of a Gaussian weighting at the highlight, this weighting function has higher weights near the highlight and the lower weights far from the highlight. Then, this paper constructs a index of lyrics with the gaussian weighting. According to the experimental results on a data set obtained from 5 real users, the proposed method is proved to be effective.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.388-393
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• 2010

Cultural Content Technology(CT, Culture Technology) for the development of cultural industry and the commercialization of technology, cultural contents, media, mount, pass the value chain process and increase the added value of cultural products that are good for all forms of intangible technology. In the field of Culture Technology, Music by analyzing the characteristics of the development of a variety of applications has been studied. Associated with EEG measures and the results of their research in response to musical stimuli are used to detect and study is getting attention. In this paper, the musical stimuli in EEG signals by amplifying the corresponding reaction to the averaging method, ERP (Event-Related Potentials) experiments based on the process of extracting sound methods for removing noise from the ICA algorithm to extract the tone and noise removal according to the results are applied to analyze the characteristics of EEG.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.6
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• pp.445-451
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• 2016

This paper introduces a postprocessing method, an iteration method for melody, and an average neural network method for learning a large number of songs in order to improve musically insufficient parts in automatic composition using existing artificial neural network. The melody of songs composed by artificial neural networks is produced according to the melodies of trained songs, so it can not be a specific tonality and it is difficult to have a repetitive composition. In order to solve these problems, we propose a postprocessing method that converts the melody composed by artificial neural networks into a melody having a specific tonality according to music theory and an iteration method for melody by iteratively composing measure divisions of artificial neural networks. In addition, the existing training method of many songs has some disadvantages. To solve this problem, we adopt an average neural network that is made by averaging the weights of artificial neural networks trained each song. From some experiments, it was confirmed that the proposed method solves the existing problems.

• Journal of Music and Human Behavior
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• v.3 no.1
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• pp.13-28
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• 2006

Autistic children have difficulties in communication. They tend to have more difficulties in general expression than in understanding sentences. This thesis tested the effect of music activities on children who have difficulties in language expression. As a research method, a group of autistic middle school students was selected who were attending normal schools. Three male students were selected for the test of K-ABC and CARS. Music treatments on the selected students were applied fifteen times, twice a week, for thirty minutes every time. The total treatment process could be divided into two stages. The stage one included the first twelve treatments and the stage two included following three treatments. In the stage one, the selected autistic students learned twenty four musics under real-world-like social circumstances. In the stage two, the students repeatedly learned the twenty four musics. A week before beginning the music treatment, the students were tested by PRES and a test developed by the author of this thesis. And a week after all treatments were completed, the students were tested again with the same test method to check if the students' expressive language ability got improved. The results of the research were as the following: First, the music treatment helped improve the autistic student's ability of expressing themselves such as 'requesting', 'rejecting', 'applying social customs' and 'providing information'. Second, the author of this thesis first had a hypothesis that the tested students might show different levels of achievements according to their intellectual ability or expressive language ability in K-ABC test, PRES and CARS. But it was not true. The student's level of achievement by music activities was proved not to have a significant correlation with their intellectual or expressive language abilities in the tests. Third, it was found that, through pre- and post-test of PRES, the music treatments could improve the receptive language ability as well as the expressive language ability. It saw great effect that musical data that utilize in specially this research investigator according to children's ability, autistic children write lyrics setting in social circumstance that is revealed much routinely and composes. To front, expect that suitable a lot of musics are developed in function and ability of subject person for elevation of expressive language ability.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.594-605
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• 2018

The purpose of this study is to examine the effects of positive psychological, emotional intelligence, and cultural orientation on conflict management in college students majoring in applied music. The research hypotheses were verified by correlation analysis and multivariate regression analysis. A questionnaire survey was conducted on 283 college students majoring in applied music. The findings are as follows. First, respondents with more positive psychological capital have chosen to use integration and compromise in conflict managements. In particular, self-efficacy has been found to have the greatest influence on integration and compromising, optimism on avoiding and obeying, and hope on dominating. Second, respondents with more emotional intelligence have chosen to use more integration and compromising, however they have chosen to use less avoiding and obeying in conflict managements. Particularly, others'emotional appraisal has been found to have the greatest influence on integration, obeying and compromising, self-emotional appraisal on avoiding, and regulation of emotion on dominating. Third, respondents with horizontal/vertical collectivism and horizontal individualism have intended to use integration and compromising in conflict managements, additionally horizontal individualism of cultural orientation has been found to have the greatest influence on integration and compromising, horizontal collectivism on obeying, vertical individualism on dominating, vertical collectivism avoiding.