• Journal of IKEEE
• /
• v.24 no.1
• /
• pp.254-259
• /
• 2020

This paper is the implementation of the conversion system from image to music based on intentional synesthesia. The input image based on color, texture, and shape was converted into melodies, harmonies and rhythms of music, respectively. Depending on the histogram of colors, the melody can be selected and obtained probabilistically to form the melody. The texture in the image expressed harmony and minor key with 7 characteristics of GLCM, a statistical texture feature extraction method. Finally, the shape of the image was extracted from the edge image, and using Hough Transform, a frequency component analysis, the line components were detected to produce music by selecting the rhythm according to the distribution of angles.

• Journal of the Korea Convergence Society
• /
• v.10 no.2
• /
• pp.13-20
• /
• 2019

For customized education, it is essential to search the learning path for the learner. The genetic algorithm makes it possible to find optimal solutions within a practical time when they are difficult to be obtained with deterministic approaches because of the problem's very large search space. In this research, based on genetic algorithm, the learning paths to learn 200 chords in 27 music sheets were optimized to maximize the learning effect by balancing and minimizing learner's burden and learning size for each step in the learning paths. Although the permutation size of the possible learning path for 27 learning contents is more than $10^{28}$, the optimal solution could be obtained within 20 minutes in average by an implemented tool in this research. Experimental results showed that genetic algorithm can be effectively used to design complex learning path for customized education with various purposes. The proposed method is expected to be applied in other educational domains as well.

• Journal of Digital Convergence
• /
• v.11 no.3
• /
• pp.345-352
• /
• 2013

The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

• Trans-
• /
• v.13
• /
• pp.35-58
• /
• 2022

This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.

• Journal of information and communication convergence engineering
• /
• v.9 no.2
• /
• pp.161-165
• /
• 2011

Recently, According to increasing interest to original sound Karaoke instrument, MIDI type karaoke manufacturer attempt to make more cheap method instead of original recoding method. Separating technique for singing voice from music accompaniment is very useful in such equipment. We propose a system to separate singing voice from music accompaniment for stereo recordings. Our system consists of three stages. The first stage is a spectral change detector. The second stage classifies an input into vocal and non vocal portions by using GMM classifier. The last stage is a selective frequency separation stage. The results of removed by listening test from the results for computer based extraction simulation, spectrogram results show separation task successfully. Listening test with extracted MR from proposed system show vocal separating and removal task successfully.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.3
• /
• pp.237-245
• /
• 2020

Tropicália, which marked the beginning of Brazilian Popular Music (MPB), is a musical genre that originated in the Brazilian cultural movement and this arose in the late 1960s. The musicians who participated in this cultural movement delivered radical innovation by embracing the international music trend of the 60s, such as the Beatles phenomenon and the experimental and creative music of the electronic age. The music derived from this era incorporated the cannibalism of the Brazilian modernism cultural movement in the 1920s, and it presented a cultural consilience while maintaining the traditional Brazilian culture. In particular, the convergence of Tropicália with rock was especially prominent. As rock grew into the culture of resistance in both Britain and the United States, the convergent characteristic of Tropicália reflected the critical sociocultural view toward Brazil at that time. This paper focuses on the element of fusion of traditional Brazilian music and the rock music present in Tropicália. To present a case study, this paper selected music pieces by Caetano Veloso, the essential pillar of Tropicália, and examined each element through specific music analysis. This study aims to establish an academic foundation for third-world music and contributes to the development and creation of fusion music.

• Journal of Digital Convergence
• /
• v.18 no.3
• /
• pp.235-245
• /
• 2020

This study was a literature review to investigate the trends and characteristics of music intervention studies on psychological support for children and adolescents from multicultural families. A total of 19 researches(13 theses and 6 articles) from 2009 to 2018 was reviewed through the selection and exclusion criteria. First, in the general characteristics, researches employing quasi-experimental design and those of one-group pre-post tests scored a higher ratio, and studies for children under the age of 13 also showed the highest percentage. Second, about the intervention characteristics, the goal mainly focussed on self-related factors such as self-identity, self-esteem and self-concept, and with the intervention type, there were mostly found the group activities integrating singing, playing and creating. It is meaningful that this study can be used as basic data developing music intervention programs for them, and suggesting music intervention considering the characteristics of them will be conducted more actively in the future.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.6
• /
• pp.91-107
• /
• 2020

The purpose of this study is to explore quantitatively the success factors of YouTube's music cover channel. Along the process, constructing and testing the measurement for music cover channel's characteristics. The research constructed the measurement items based on results of qualitative studies. To perform the purposes the study suggest a research model which integrated the Post Acceptance Model with five music cover channel's characteristics based on the recent case studies. The five characteristics were contents, video, creator, interactivity, and publicity. The characteristics were integrated with Post Acceptance Model. After testing reliability and validity the research model was revised then, the research hypothesis was tested. The research results show: first, it was found that the content characteristics did not meet the expected value of users. Second, among the five factors of channel characteristics presented in creator's characteristics have the largest effect on user's value perception Third, in the factor analysis process, the content factor and the video were loaded on the same factor thus integrated as one factor. Fourth, satisfaction and intention for continual usage were also loaded on the same factor thus integrated as one factor. The research results suggest that music cover channel operators need to enhance the creator's attraction, communication with user, and publicity in various ways.

• Journal of the Korea Convergence Society
• /
• v.8 no.9
• /
• pp.265-270
• /
• 2017

This study purposed to investigate harmonic compositions and progressions that are appropriate for emotion vocabulary. In study 1, eight(8) professional music therapists were asked to provide harmonic compositions and progressions reflecting the tonal characteristics of emotion vocabulary and the rationales. Various attributes of harmonic compositions and progressions were examined and the content analysis were administered. In study 2, the obtained data on study 1 were evaluated by 124 music therapy and music majors for the validity. In the first study, analyzed results showed that 'happy' vocabulary utilized major, tonic, consecutive chord changes, 'angry' vocabulary utilized minor, augmented, $9^{th}$, $11^{th}$, unsolved $7^{th}$ chord progression, 'sad' vocabulary utilized minor, diminish, chromatic chord progressions. In the second study, there was statistically significant difference with 'happy' vocabulary. These results can provide basic evidences for musical ideas of harmonic compositions and progressions to better communicate emotional aspects of lyrical messages when composing melody in a song.

• Advanced Industrial SCIence
• /
• v.1 no.2
• /
• pp.9-16
• /
• 2022

This study was a randomized before-and-after design of 17 subjects in the experimental group and 17 subjects in the control group to investigate the effects of listening to relaxing music on the mood state and autonomic nervous system, that is, heart rate of hospitalized patients with mental illness. The collected data were analyzed with SPSS V15.0. There was a statistically significant difference between the two groups in mood state and autonomic nervous system, that is heart rate and the effect of listening to relaxation music was objectively verified(<.05). among the subdomains of mood states, tension(<.00), depression (<.00), vitality (<.03), fatigue () <.01), excluding anger (>.39) and confusion (>.33) showed a significant difference, proving that it is an effective intervention method applied to hospitalized mentally ill patients. In the future, we would like to suggest long-term intervention research and development and application, and research on the effect of mood change and heart rate using individual preferred music.