• Title/Summary/Keyword: Music analysis

Search Result 945, Processing Time 0.027 seconds

The Study for Idol Music as New Korean Wave and Ecosystem Equilibrium of Korean Popular Music Market 2000-2014 (신한류 아이돌 음악과 한국대중음악시장의 생태계 균형에 관한 연구 2000-2014)

  • Kim, Ki-Deog
    • The Journal of the Korea Contents Association
    • /
    • v.15 no.6
    • /
    • pp.157-167
    • /
    • 2015
  • This research studied how idol music popularity influences on equilibrium of ecosystem in Korean popular music market. Because most of media & press reported that idol music caused unbalance of whole market so this research issued it. Research method is borrowed production of cultural perspective of Peterson and subject of analysis is selected idol music from Melon weekly music chart(2000-2014), which is No. 1 digital music distributor. The result showed idol music did not bring unbalance of ecosystem structure in Korean polular music market and found it contributed diversity of music genre in music market by introducing various musical style all the more. This kind of untested information should not cause idol music production leading new Korean Wave to shrink. Government related organization has to do policy making based on verified fact in future and it should be handled as important matter for sustainable and expansive reproduction of Korean wave.

A Qualitative Inquiry on Group Music and Imagery Experiences (그룹 음악과 심상 경험에 대한 질적 사례연구)

  • Kim, Aimee Jeehae
    • Journal of Music and Human Behavior
    • /
    • v.17 no.2
    • /
    • pp.101-117
    • /
    • 2020
  • This study aimed to investigate music and imagery (MI) experiences in group settings using a qualitative case study approach. For this purpose, a focus group interview was conducted with four professional music therapists, who participated in peer MI group sessions without a therapist. Data collected from the interview were analyzed by qualitative data analysis procedures. Results demonstrated that successful group music experiences in the early stages, such as sharing and selecting music together within the group or experiencing group support, leaded to developing trust towards music and the group in participants. Moreover, the trust built upon such basis was shown to facilitate expansions in emotional experiences, imageries, relational aspects, and music resources, which led to new personal insights. In addition, the participants recognized the supportive nature of the group played a role of encouraging participants to challenge new experiences during MI experiences. The results suggest that group as a therapeutic factor can promote expansive emotional experiences and insights. Furthermore, the findings may provide implications for music psychotherapy applications in group settings.

Comparative Analysis of and Future Directions for AI-Based Music Composition Programs (인공지능 기반 작곡 프로그램의 비교분석과 앞으로 나아가야 할 방향에 관하여)

  • Eun Ji Park
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.4
    • /
    • pp.309-314
    • /
    • 2023
  • This study examines the development and limitations of current artificial intelligence (AI) music composition programs. AI music composition programs have progressed significantly owing to deep learning technology. However, they possess limitations pertaining to the creative aspects of music. In this study, we collect, compare, and analyze information on existing AI-based music composition programs and explore their technical orientation, musical concept, and drawbacks to delineate future directions for AI music composition programs. Furthermore, this study emphasizes the importance of developing AI music composition programs that create "personalized" music, aligning with the era of personalization. Ultimately, for AI-based composition programs, it is critical to extensively research how music, as an output, can touch the listeners and implement appropriate changes. By doing so, AI-based music composition programs are expected to form a new structure in and advance the music industry.

Analysis of Musical Characteristics and Changes in Different Periods on Yoon-Sang's Music (윤상의 곡에 나타난 음악적 특징과 시대별 변화)

  • Park, Ji-Eun;Chung, Jae-Youn
    • Journal of Korea Entertainment Industry Association
    • /
    • v.15 no.1
    • /
    • pp.63-73
    • /
    • 2021
  • This study aims to analyze music of Yoon-sang, as a part of musical research, which is the most fundamental approach among academic studies on Korean popular music. Yoon-Sang is a representative composer, who has gone through the 1980s to the present. The result of analysis of 21 songs created by Yoon-Sang showed that his songs are mostly characterized by tonal music, in which chord relationships develop focusing on keynotes. The reason why his music does not sound uniform pursuing stability is he properly added the progression of chromatic chords, based on diatonic chords and melodies. Dominant 7th chord and diminished 7th chord are used the most among diverse techniques adding chromatic colors. Along with these chords, chromatic intervals are used not only in chord progression but also in melodies. The successive, ascending or descending movement of the base line is his common composition and arrangement technique revealed in every song. One of formal changes with the stream of the times is that the number of measured in the pre-chorus and interlude that were of great importance in his songs of the 1990s decreased over time. With regard to harmonic changes, whereas modulation between parts was applied to his 2 songs created in the 2010s. Yoon-Sang's music had one strong tonality overall, but his music began to have more than two tonalities starting the 2010s, and this is a big variation in his music.

PPL Strategy Comparison of British - American and K-POP music videos (영미권과 K-POP 뮤직비디오 내 PPL 전략 비교)

  • Cha, Young Ran
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.10
    • /
    • pp.170-180
    • /
    • 2013
  • This study compares and reviews PPL in domestic and foreign music videos with reference to possibility of connecting K-POP music videos and PPL in industrial perspective and establishes a successful PPL strategy for K-POP. For this, their success factors are drawn through content analysis method for PPL examples in K-POP and foreign(British-American) music videos. The study analyzes PPL strategies in K-POP and foreign music videos by content analysis of PPL exposure frequency and time, PPL placement type, PPL products group type, advertisers, etc. According to the study, PPL product lines as well as fashions need to be diversified in K-POP music videos. The study also shows that it needs to apply the PPL strategy used in foreign music videos which are focused on exposure time rather than exposure frequency. In addition, it turned out to be important to establish more bold PPL placement exposure strategy in K-POP music videos. Therefore, the study is to offer theoretical and political implications required for successful PPL strategy in K-POP in the future.

A Study on the Influence of Mobile Music Application Users' Social Experience on Purchasing Intention - The Mediating Effect of Brand Attachment

  • Li, Jingrong
    • Journal of the Korea Society of Computer and Information
    • /
    • v.24 no.7
    • /
    • pp.53-60
    • /
    • 2019
  • With the gradual in-depth use of social elements, music social networking has attracted more and more attention and discussion in the industry. Therefore, starting from the user experience theory and purchase intention theory, this paper explores the mechanism of user social experience and purchase intention in mobile music applications, and adds the mediating role of brand attachment on the basis of literature research. Based on previous studies on user experience measurement of social network and evaluation report of mobile music applications in the industry, and combined with in-depth interviews of users, whether the user experience of mobile music applications, which pays more and more attention to social elements, has an impact on purchase intention or not? What specific social experience can help form purchase intention? Are mediating variables at work? In practice, a total of 398 formal questionnaires were collected to obtain first-hand data. Later, reliability analysis, factor analysis and structural equation model test were carried out successively to verify the hypothesis. According to the results of empirical research, firstly, content experience, atmosphere experience and interactive experience in users' social experience of mobile music applications have a significant impact on brand attachment, secondly, atmosphere experience has a significant impact on purchase intention, and thirdly, brand attachment has a significant impact on users' purchase intention. Fourthly, brand attachment plays an intermediary role in the relationship between users' atmosphere experience and content experience and purchase intention. Based on the above research conclusions, the author puts forward corresponding marketing strategy Suggestions, which have certain guiding significance for mobile music applications to improve users' purchase intention, and have certain reference significance for the development of mobile music applications and the expansion of business model.

Analysis of Mood Tags For Music Recommendation (음악추천을 위한 분위기 태그 분석)

  • Moon, Chang Bae;Lee, Jong Yeol;Kim, Dong-Seong;Kim, Byeong Man
    • Journal of Korea Society of Industrial Information Systems
    • /
    • v.24 no.1
    • /
    • pp.13-21
    • /
    • 2019
  • The tendency of buyers of web information is changing from the cost-effectiveness which emphasizes the performance over the price to the cost-satisfaction which emphasizes the psychological satisfaction of the buyer. In music recommendation, one of the methods to increase psychological satisfaction is to use the music mood. In this paper, a music recommendation method considering the mood tag and the synonyms tag is proposed and, as an intermediate result of the proposed method, mood tags and music pieces are expressed in Thayer's AV space and then their distribution are analyzed. The analysis result shows the distributions of mood tags and the ones of music pieces are similar, which implies that the proposed recommendation method can provide significant results. In the future, the music recommendation performance will be analyzed.

Statistical Analysis of Brain Activity by Musical Stimulation (음악적 자극에 의한 뇌 활성도의 통계적 해석)

  • Jung, Yu-Ra;Jang, Yun-Seok
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.16 no.1
    • /
    • pp.89-94
    • /
    • 2021
  • In this paper, we presented the results of analysis with data obtained through EEG measurements to confirm the effect of musical stimulus when performing mathematical tasks. While the subject was solving a mathematical task, favorite and unfavorite music classified according to the subject's preference were presented as musical stimulus and the tasks were divided into memorization task and procedure task. The data measured in the EEG experiments was divided into theta waves, SMR waves and mid-beta waves which are the frequency bands related to concentration to compare the relative power spectrum values. In our results, in the case of comparing no music with favorite music and no music with unfavorite music, a significant difference was observed in the several channels, and the average difference was shown in the channels F3 and F4 of the frontal lobe. In that channels, the power was found to be greater when the music was presented than the case where there was no music. Depending on the subject's preference, it was confirmed that favorite music showed greater brain activity than unfavorite music.

Research on value-added services of Chinese online music platforms

  • Yuan, Yuxuan
    • Journal of the Korea Society of Computer and Information
    • /
    • v.27 no.11
    • /
    • pp.287-294
    • /
    • 2022
  • The purpose of this study is to define the concept of value-added services on online music platforms, put forward a model of users' willingness to use value-added services on online music platforms, and explore the way its influencing factors affect users' willingness to use. This study is based on the stimulus-response model, combined with the characteristics of online music service platforms, using information value, social value, and entertainment value as independent variables, using flow experience as a mediating variable, and self-awareness as a moderator variable, and then researches on the use of users. influence of will. Empirical analysis was carried out in this study using SPSS and AMOS statistical analysis tools. It is verified that the value-added services of online music platforms have a positive and positive impact on consumers' flow experience and usage intention. This research can fill in the theoretical defects of online music platform service, which has positive and important significance for music platform operators to improve their service capabilities and improve their income.

Music information and musical propensity analysis, and music recommendation system using collaborative filtering (음악정보와 음악적 성향 분석 및 협업 필터링을 이용한 음악추천시스템)

  • Gong, Minseo;Hong, Jinju;Choi, Jaehyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2015.05a
    • /
    • pp.533-536
    • /
    • 2015
  • Mobile music market is growing. However, services what are applied recently are inaccurate to recommend music that a user is worth to prefer. So, this paper suggests music recommend system. This system recommend music that users prefer analyzing music information and user's musical propensity and using collaborative filtering. This system classify genre and extract factors what can be get using STFT's ZCR, Spectral roll-off, Spectral flux. So similar musics are clustered by these factors. And then, after divide mood of music's lyric, it finally recommend music automatically using collaborative filtering.

  • PDF