• Journal of Korea Entertainment Industry Association
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• v.15 no.2
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• pp.35-46
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• 2021

The purpose of this research is to analyze Soon Chul Jung's children's songs, who is one of the four great children's songwriters in Korea along with Geuk Young Yoon, Nan Pa Hong and Tae Jun Park. Soon Chul Jung has contributed by actively participate into children's movement at Japanese colonial period through writing self-composed children's songs. Since children's songs are made for the age group without the sense of sound, children's songs necessitate 'easy to sing-along' melody writing process. Like so, when writing the melody that are easy to be sang along, utilization of development technique using a unit called motive can be the potent way. This method has an advantage of being sang more with ease if actively implemented, and can be done by utilizing the smallest unit of the melody called motive, especially by lightly transform and repeat the unit, consequently structuring the song altogether. To investigate and analyze this motive-based development technique of Soon Chul Jung's songs, 38 out of 40 written songs considered eligible for the research were confirmed and chosen from 'Soon Chul Jung's bibliography and choreography' and each songs were analyzed based on 17 different development techniques which were standardized in the textbook 'Melody in Songwriting' adopted as a textbook of the Berklee college of Music, and also compared these song-writing pipelines with other great songwriters' representatives mentioned above. As a result, it was almost linear that the song's pitch variation in combination with thinning or extension were used frequently and repeatedly, otherwise implicating melody duplication for more than 2 bars and motive repetition were not in his favor, while these methods were often used when writing children's songs. This finding could be viewed as a character of his songwriting.

• Journal of Music and Human Behavior
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• v.17 no.1
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• pp.1-24
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• 2020

The internship is essential for the music therapy curriculum and affords interns the opportunity to apply their classroom-based knowledge and skills to real-world clinical settings. However, challenges associated with the internship can result in interns undergoing trial-and-error learning, interpersonal conflicts, and intrapersonal difficulties. An experiential music therapy group may be useful in helping interns process these incidents and develop their personal and professional skills. We explored the experiences of music therapy interns participating in therapeutic song writing. In this study, five music interns completed two 4-hour sessions of therapeutic song writing. Following the second session, a group interview was conducted with participants to gather data on their experiences. The interview was recorded, transcribed, and analyzed. Six themes and 18 sub-themes were derived from the data. The six themes were preconceptions of therapeutic song writing, meaningful lyric creation, challenges in song composition, structured experiences during song writing process, development of self-awareness through music, and relational experiences resulting from the group process. Participants were able to incorporate their individual internship experiences into a single song by communicating with group members during the step-by-step process. Participation in therapeutic song writing was found to help music therapy interns identify and process challenges encountered during their internship and further their personal and professional development.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.205-218
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• 2019

Music sampling, which has been popular since hip-hop DJs used it in the 1970s, is now one of methods of producing music that is used regardless of genre or country. In this study, an overall production methodology for music sampling was presented through in terms of content and techniques. First of all, in terms of the contents, we classified them into the reuse and length of materials, and the function of samples in the mixed songs. In terms of the techniques, editing and effecting techniques were classified. By combining these elements, the methodology of music sampling applicable to the productions as well as the analysis was presented. Based on this methodology, the sampled songs of Korean Popular musicians - Jang Ki-ha and Faces, Epik High, The Quiet, and DJ DOC - were successfully analysed. Through the analysis process, the organic relationship of elements within the methodology was investigated, and the results of the analysis showed the effectiveness of the proposed methodology. This study can be meaningful in laying the groundwork for applying music sampling directly when actually producing songs or analyzing sampled songs.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.748-756
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• 2022

Thanks to the competition of AlphaGo and Sedol Lee, machine learning has received world-wide attention and huge investments. The performance improvement of computing devices greatly contributed to big data processing and the development of neural networks. Artificial intelligence not only imitates human beings in many fields, but also seems to be better than human capabilities. Although humans' creation is still considered to be better and higher, several artificial intelligences continue to challenge human creativity. The quality of some creative outcomes by AI is as good as the real ones produced by human beings. Sometimes they are not distinguishable, because the neural network has the competence to learn the common features contained in big data and copy them. In order to confirm whether artificial intelligence can express the inherent characteristics of different arts, this paper proposes a new neural network model called Humming. It is an experimental model that combines vgg16, which extracts image features, and DeepJ's architecture, which excels in creating various genres of music. A dataset produced by our experiment shows meaningful and valid results. Different results, however, are produced when the amount of data is increased. The neural network produced a similar pattern of music even though it was a different classification of images, which was not what we were aiming for. However, these new attempts may have explicit significance as a starting point for feature transfer that will be further studied.