• Title/Summary/Keyword: music technology

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Use of Music Technology in Music Therapy (음악치료에서의 음악테크놀로지 활용)

  • Park, Ye Seul
    • Journal of Music and Human Behavior
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    • v.12 no.2
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    • pp.61-77
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    • 2015
  • The purpose of this study was to investigate music therapists'use and perception of computer-based music technology. Questionnaires were distributed either electronically or in-person to 367 music therapists with credentials. Of the 367 initially distributed questionnaires, 101 were returned and 61 were analyzed after excluding 40 incomplete responses. The survey was comprised of two sections: the use of music technology and perceived importance of music technology in music therapy practice. The results showed that 65.6% of the respondents had used music technology in their clinical practice. The most frequently used type of music technology was Finale, followed by Garage band, and Cubase. With regard to the areas where music technology was used, it was implemented primarily for adolescents for musical or emotional goals, and was applied most frequently as a musical resource. In addition, most respondents showed a positive attitude toward music technology and added that they would need to be trained to use music technology for their clinical practice. These results provide practical information on how music therapists use and perceive computer-based music technology, and its implication for music therapy clinical practice.

A Study of the Influencing Factors on the User Acceptance of Music File Sharing Technology (음악 파일 공유 기술의 사용자 수용에 대한 영향 요인 연구)

  • Shim, Seon-Young;Amoroso, Donald L.
    • Journal of Information Technology Services
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    • v.7 no.3
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    • pp.47-70
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    • 2008
  • File sharing technology is the most popular methodology through which consumers gain music from online. However, music file sharing and free downloads of music have caused terrible recession of traditional music industry. The purpose of this paper is to develop the underlying theory for understanding the acceptance of music file sharing technology and empirically test our theoretical model. We develop extended TAM model and explore the influencing factors on the user acceptance of music file sharing technology. Our study delivers a better understanding on consumers’ attitudes towards music downloads. By understanding the fundamental characteristics of technology that makes consumers enthusiastic, traditional music industry will gain managerial implications.

A Cappella as Incidental Music: With a Focus on Frederick Delius's Choral Music

  • Eui Joong Yoon;Jiyoung Jung
    • International Journal of Advanced Culture Technology
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    • v.12 no.3
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    • pp.362-369
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    • 2024
  • In this paper, we analyze and study about the incidental music focusing on the Frederick Delius's choral music without instrumental accompaniment. Incidental music refers to music composed for a play, often played between acts or as background music. Typically, incidental music is discussed within the realm of classical music, but historically, it has evolved into background music for various media. Additionally, incidental music is predominantly instrumental rather than vocal or choral. However, Frederick Delius expanded the scope of incidental music to include choral elements. Delius's efforts opened new possibilities for incidental music, enhancing the integration of drama and music. His works transcend mere background music, enriching the atmosphere and emotions of the play. This provides the audience with a more immersive experience and elevates the artistic value of incidental music. Frederick Delius's unaccompanied choral work, "Two songs to be Sung of a Summer Night on the Water" is characterized by their lack of lyrics and melodic and harmonic texture, making them even more suitable as incidental music.

The Impact of Blockchain Technology on the Music Industry

  • Kim, Kenneth Chi Ho
    • International journal of advanced smart convergence
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    • v.8 no.1
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    • pp.196-203
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    • 2019
  • We have reviewed the potential impact of blockchain technology on the music industry by analyzing the views of academia and the industry experts. The music industry had rapid changes from the physical market to the digital market in the past decades. The consumers download and stream music online and mobile during the digital dominant market. While streaming music has been recently growing at a fast rate, fair distribution of revenue to the artists continues to be an issue. Some industry experts believe that the issue of fair distribution of revenue to the artist may be resolved using blockchain technology, while some are skeptical about the application or the duration of impact. The blockchain may enhance speedier payment using smart contracts, provide additional revenue and promote the music if excellent fan support is achieved. The positive impact on the music industry may only be possible if there are detailed consideration of the industry and careful understanding of the customers.

A Review of 40 Years of Techno Music: Music History and Industrial Technology (테크노 음악 40년의 음악사 및 산업기술적 측면에 대한 고찰)

  • Lee, Sunghoon
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.131-136
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    • 2019
  • Since the term technopop was first used 40 years ago, techno music has evolved with technological advances. However, few studies have examined techno music from a historical point of view. In particular, it is necessary to explore the techno music in relation to the development of industrial technology. Therefore, this paper aimed to examine the historical context of techno music from the early days of Detroit techno as well as the industrial significance of techno culture in Europe. We also provide suggestions regarding the further development of techno music.

How Query by humming, a Music Information Retrieval System, is Being Used in the Music Education Classroom

  • Bradshaw, Brian
    • Journal of Multimedia Information System
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    • v.4 no.3
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    • pp.99-106
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    • 2017
  • This study does a qualitative and quantitative analysis of how music by humming is being used by music educators in the classroom. Music by humming is part division of music information retrieval. In order to define what a music information retrieval system is first I need to define what it is. Berger and Lafferty (1999) define information retrieval as "someone doing a query to a retrieval system, a user begins with an information need. This need is an ideal document- perfect fit for the user, but almost certainly not present in the retrieval system's collection of documents. From this ideal document, the user selects a group of identifying terms. In the context of traditional IR, one could view this group of terms as akin to expanded query." Music Information Retrieval has its background in information systems, data mining, intelligent systems, library science, music history and music theory. Three rounds of surveys using question pro where completed. The study found that there were variances in knowledge, training and level of awareness of query by humming, music information retrieval systems. Those variance relationships where based on music specialty, level that they teach, and age of the respondents.

Transformation of the Music Market brought about by Technology (테크놀로지가 가져온 음악 시장의 변혁)

  • kim, Joy
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.537-541
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    • 2022
  • As technology advances, various applications linked to the music industry are becoming popular through new media. There have been many changes in the music market. Beyond the existing music market, where music copyright and performance rights were the center of the music business, we are unifying and operating communication channels that connect artists and fans, such as investment products derived from music copyrights. The technology that connects the fandom with additional business digital content has transformed into global platforms such as HYBE Entertainment's and YG Entertainment's Weverse, as well as SM Entertainment's Bubble. In addition, various national support projects to build a 5G MEC (MobileEdge Computing) environment to quickly respond to the rapidly changing 5G industry ecosystem are supporting for the immersive content demonstration, immersive content testing, and technical analysis, we are laying the groundwork to efficiently respond to the ever-expanding metaverse content market. Technology is changing dramatically. Therefore, we would like to study to changes in the music market brought about by technology and suggest strategies for a new era in the music business.

Moving Average Filter for Automatic Music Segmentation & Summarization (이동 평균 필터를 적용한 음악 세그멘테이션 및 요약)

  • Kim Kil-Youn;Oh Yung-Hwan
    • Proceedings of the KSPS conference
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    • 2006.05a
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    • pp.143-146
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    • 2006
  • Music is now digitally produced and distributed via internet and we face a huge amount of music day by day. A music summarization technology has been studied in order to help people concentrate on the most impressive section of the song andone can skim a song as listening the climax(chorus, refrain) only. Recent studies try to find the climax section using various methods such as finding diagonal line segment or kernel based segmentation. All these methods fail to capture the inherent structure of music due to polyphonic and noisy nature of music. In this paper, after applying moving average filter to time domain of MFCC/chroma feature, we achieved a remarkable result to capture the music structure.

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Design of Music Learning Assistant Based on Audio Music and Music Score Recognition

  • Mulyadi, Ahmad Wisnu;Machbub, Carmadi;Prihatmanto, Ary S.;Sin, Bong-Kee
    • Journal of Korea Multimedia Society
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    • v.19 no.5
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    • pp.826-836
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    • 2016
  • Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

The Effect of the Attractiveness of Mobile Music Applications on the Level of User Loyalty

  • Mengyu, Dong;Cho, Namjae
    • Journal of Information Technology Applications and Management
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    • v.24 no.3
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    • pp.63-72
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    • 2017
  • The purpose of this study is to investigate the relationship between application attractiveness and loyalty to mobile music applications. The application attractiveness is operationalized into four dimensions: richness of music contents, music app design quality, music app functionality, and promotion. The hypotheses are postulated and tested using a sample of 370 student respondents from Henan Polytechnic University and Henan Institute of Technology, China. The result shows that there is a positive correlation between loyalty and three application attractiveness aspects: richness of music contents, music app design quality and music app functionality. Based on the results of this study, the research put forward constructive suggestions about improving mobile music application loyalty. Finally, several conclusions, managerial suggestions, limitations and future research are proposed.