• Title/Summary/Keyword: MUSIC

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Automatic Music Summarization Using Similarity Measure Based on Multi-Level Vector Quantization (다중레벨 벡터양자화 기반의 유사도를 이용한 자동 음악요약)

  • Kim, Sung-Tak;Kim, Sang-Ho;Kim, Hoi-Rin
    • The Journal of the Acoustical Society of Korea
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    • v.26 no.2E
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    • pp.39-43
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    • 2007
  • Music summarization refers to a technique which automatically extracts the most important and representative segments in music content. In this paper, we propose and evaluate a technique which provides the repeated part in music content as music summary. For extracting a repeated segment in music content, the proposed algorithm uses the weighted sum of similarity measures based on multi-level vector quantization for fixed-length summary or optimal-length summary. For similarity measures, count-based similarity measure and distance-based similarity measure are proposed. The number of the same codeword and the Mahalanobis distance of features which have same codeword at the same position in segments are used for count-based and distance-based similarity measure, respectively. Fixed-length music summary is evaluated by measuring the overlapping ratio between hand-made repeated parts and automatically generated ones. Optimal-length music summary is evaluated by calculating how much automatically generated music summary includes repeated parts of the music content. From experiments we observed that optimal-length summary could capture the repeated parts in music content more effectively in terms of summary length than fixed-length summary.

A Comparative Analysis of Music Similarity Measures in Music Information Retrieval Systems

  • Gurjar, Kuldeep;Moon, Yang-Sae
    • Journal of Information Processing Systems
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    • v.14 no.1
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    • pp.32-55
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    • 2018
  • The digitization of music has seen a considerable increase in audience size from a few localized listeners to a wider range of global listeners. At the same time, the digitization brings the challenge of smoothly retrieving music from large databases. To deal with this challenge, many systems which support the smooth retrieval of musical data have been developed. At the computational level, a query music piece is compared with the rest of the music pieces in the database. These systems, music information retrieval (MIR systems), work for various applications such as general music retrieval, plagiarism detection, music recommendation, and musicology. This paper mainly addresses two parts of the MIR research area. First, it presents a general overview of MIR, which will examine the history of MIR, the functionality of MIR, application areas of MIR, and the components of MIR. Second, we will investigate music similarity measurement methods, where we provide a comparative analysis of state of the art methods. The scope of this paper focuses on comparative analysis of the accuracy and efficiency of a few key MIR systems. These analyses help in understanding the current and future challenges associated with the field of MIR systems and music similarity measures.

Children's Music Cognition: Comparison of Identification, Classification, and Seriation in Music Tasks (아동의 음악 인지 : 음악의 동일성·유목화·서열화 인지 비교)

  • Kim, Keum Hee;Yi, Soon Hyung
    • Korean Journal of Child Studies
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    • v.20 no.3
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    • pp.259-273
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    • 1999
  • This studied investigated children's music identification, classification, and seriation cognitive task performance abilities by age and sex. The subjects were l20 six-, eight-, and ten-year-old school children. There were significant positive correlations among music cognition tasks and significant age and sex differences within each of the music tasks. Ten-year-old children were more likely to complete their music identification tasks than the younger children and girls were more likely than boys to complete their music identification tasks. Eight- and 10-year-old children were more likely to complete their music classification tasks than the younger group. Piagetian stage theory was demonstrated in children's music classification task performance. There was an age-related increase in the performance of the music seriation tasks. Developmental sequential theory was demonstrated in music seriation performance.

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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.

Ranking Tag Pairs for Music Recommendation Using Acoustic Similarity

  • Lee, Jaesung;Kim, Dae-Won
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.3
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    • pp.159-165
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    • 2015
  • The need for the recognition of music emotion has become apparent in many music information retrieval applications. In addition to the large pool of techniques that have already been developed in machine learning and data mining, various emerging applications have led to a wealth of newly proposed techniques. In the music information retrieval community, many studies and applications have concentrated on tag-based music recommendation. The limitation of music emotion tags is the ambiguity caused by a single music tag covering too many subcategories. To overcome this, multiple tags can be used simultaneously to specify music clips more precisely. In this paper, we propose a novel technique to rank the proper tag combinations based on the acoustic similarity of music clips.

Pricing Policy of Music Service in Digital Music Market-focused on the Regulations for the Digital Music Service (디지털 음악시장에서 음원사용료 징수 개정안의 고찰-2013년 징수개정안을 중심으로)

  • Jung, Ji-Young
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.341-348
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    • 2015
  • As a result of growth of digital music market in Korea, Creator's rights and interests have been at the heart of the debate in terms of legal system. In the music industry, digital music revenue has now overtaken records sales and compared to download service it is now clear that music streaming and subscription is mainstream model in the rise of the worldwide market of digital music. This trend is also indentical to the domestic and withholding regulations for music service and creator's rights and interests have become an ever growing issue. Ministry of Culture, Sports ad Tourism decided the revision of withholding regulations for the digital music service in 2013. The amendment is to change its policy of charging music service from the flat rate pricing to a usage-based system. This paper brought forward some disputable points such as fair division of profit, reasonable pricing for consumers etc. about the revision. Therefore, improvement of system and change in the perception of such copyrights are still required for both the encouragement of creator's activities and the high consumer satisfaction.

Review of the Theoretical Components of Community Music Therapy (커뮤니티 음악치료의 구성요소에 대한 고찰)

  • Kang, Hyun-Jung
    • Journal of Music and Human Behavior
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    • v.14 no.2
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    • pp.91-105
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    • 2017
  • Community music therapy (CoMT) has been recently developed and expands the opportunities for music therapy. The concept of CoMT is introduced in this article, and its three attributes of community, music, and health are reviewed. This study specified each attribute of CoMT: a community (a group of people, a field where members of a group interact with each other), music (a substance of interaction, collective music-making), and health (motivation and goal of interaction, relational and social well-being). The application and interactions of the three attributes of CoMT are introduced as in the concept of community music, music and health, and community health. How CoMT can be applied to the field of music therapy is also detailed and based on the concept of CoMT and its relationship with the attributes, the CoMT was reconstructed as CoMuHeal in this study. Future studies are needed to propose how music therapy approaches can be developed to provide music for well-being and better health in the community and how CoMT can be applied in collaboration with other professional fields.

The Levy System of Music Service and Revenue Structure of Copyright's Royalty in the On-line Music Market in Korea (한국 온라인 음악시장의 음악사용료 징수규정과 창작자를 위한 저작권료 수익구조)

  • Jung, Jiyoung
    • Journal of Digital Convergence
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    • v.13 no.1
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    • pp.429-438
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    • 2015
  • The copyrights of music in Korea have been placed under the supervision of the associations which the government approved as a trusteeship. Since the industry of music in Korea has been changed from phonographic industry to on-line music service, it is required increasingly that the rights and interests of music should been protected. Korea government has been announced the amendment for levy of music royalties through on-line service according to the changes in the music industry and industries' demand. In this paper, the corporate structures in music industry has been investigated from the point of owner of copyright, recently at the heart of the debate, flat rate system and usage-based pricing in on-line music market has been compared. Consequently, the reasonable prices of music service through on-line market are not earmarked in reality for both consumers and copyright proprietors. Therefore, it is still necessary to improve the institutional.

Stevie Wonder's music has had on the K-POP (Stevie Wonder의 음악이 K-POP에 끼친 영향)

  • Yun, Byung-Jin;Cho, Tae-Seon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.104-108
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    • 2016
  • African-American music heavily influences a variety of musical genres, including folk music, jazz, rhythm and blues, soul, and funk music. The music derived from traditional African music with its unique syncopated rhythm using a five-note pentatonic scale, and has developed through significant influences from gospel music. African-American music has also evolved through historical social movements, such as eliminating the racial discrimination, and has been influenced by the personalities of different cities in the United States. Modern music features fusion with elements of Western music. One of the most influential and respected artists of the 20th century was Stevie Wonder, who was known as "Father of African-American music." He was an accomplished artist, winning numerous awards despite being disabled. He has become one of the most famous and respected artists worldwide. This study of Stevie Wonder's life, music, and spiritual strength, aims to highlight his significant achievements and contributions to pop music. This is a study based on an analysis of the work of Stevie Wonder and describes how elements of African-American music influences current Korean pop music and musicians.

Optical Music Score Recognition System for Smart Mobile Devices

  • Han, SeJin;Lee, GueeSang
    • International Journal of Contents
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    • v.10 no.4
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    • pp.63-68
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    • 2014
  • In this paper, we propose a smart system that can optically recognize a music score within a document and can play the music after recognition. Many historic handwritten documents have now been digitalized. Converting images of a music score within documents into digital files is particularly difficult and requires considerable resources because a music score consists of a 2D structure with both staff lines and symbols. The proposed system takes an input image using a mobile device equipped with a camera module, and the image is optimized via preprocessing. Binarization, music sheet correction, staff line recognition, vertical line detection, note recognition, and symbol recognition processing are then applied, and a music file is generated in an XML format. The Music XML file is recorded as digital information, and based on that file, we can modify the result, logically correct errors, and finally generate a MIDI file. Our system reduces misrecognition, and a wider range of music score can be recognized because we have implemented distortion correction and vertical line detection. We show that the proposed method is practical, and that is has potential for wide application through an experiment with a variety of music scores.