• Title/Summary/Keyword: Music Databases

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The Effect of Korean Wave (Hallyu) on the Music Industry

  • Woo-Jun JANG;Min-Ho, CHANG
    • The Journal of Industrial Distribution & Business
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    • v.14 no.11
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    • pp.11-18
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    • 2023
  • Purpose: This study aims to respond to essential queries regarding significant impacts the Korean Wave had on the music business especially in light of K-pop's explosive growth on the international scene and how to transform Hallyu into the global dynamics of the music business. Also, the study investigates what degree of cultural bridging through Music's universal language has Kpop achieved beyond its status as a purely musical genre. Research design, data and methodology: For the process of data collecting, the current investigators used a combination of keywords and controlled vocabulary terms to conduct in-depth searches across reputable academic databases, including PubMed, Scopus, Web of Science, and Google Scholar. Keywords are significant in searching databases such that the desired articles can be sought out wiith the keywords "Korean Wave," "Hallyu," and "music industry,". Results: The investigators found the globalization of K-pop, diverse audience engagement, digital transformation, and cultural exchange through Music as four critical effects of the Korean Wave on the music business. Conclusions: Lastly, this study concludes that As we end our investigation into Hallyu's effects on the music business, it is clear that Korean Music's cultural impact and international appeal have created new opportunities and particular difficulties for both professionals and artists.

Development of a System for Music Plagiarism Detection Using Melody Databases (음악 데이터베이스를 이용한 음악 표절 감지 시스템 개발)

  • Park Jeong il;Kim Sang Wook
    • Journal of Korea Multimedia Society
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    • v.8 no.1
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    • pp.1-8
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    • 2005
  • Similar melody searching is an operation that finds such melodies similar to a given query melody from a music database. In this paper, we address the development of a system that detects plagiarism based on the similar melody searching. We first Propose a novel similarity model that supports alignment as well as shifting. Also, we suggest a method for indexing the features extracted from each melody, and a method for processing plagiarism detection by using the index. By our plagiarism detection system composers can easily searches for such melodies that are similar to their ones from music databases. Through performance evaluation via a series of experiments, we show the effectiveness of our approach. The results reveal that our approach outperforms the sequential-scan-based one in speed up to around 31 times.

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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.

Music Factory : A Composition and Listening System based-on Web Databases (뮤직 팩토리: 웹 데이터베이스를 기반으로 한 작곡 및 청음 시스템)

  • Son, Hayeseul;Jung, Su-Jin;Bae, Myung-Sook;Ahn, Hoo-Young;Park, Hwa-Jin;Park, Young-Ho
    • Journal of Digital Contents Society
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    • v.11 no.1
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    • pp.9-16
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    • 2010
  • Recently, needs and interests that people want to create their digital contents in ubiquitous environment are growing fast. Among the digital contents, people are also interested in the music contents. However, it is hard to find a system which manages and shares music contents easily. The paper proposes a system that provides a composition function for music, a mixing function for music, and a function for ear training. The contributions of the paper are as follows. First, the paper provides a music management system which enables music compositions, listening function of music, searching functionalities. Second, the paper introduces a function of mixing drum sound for managing rhythms. Third, the paper provides game contents which improve senses of music. The proposed system is expected that enables users composite music in ubiquitous environment, provides rich functions for compositions, and improves senses of music.

Systematic Review of the Literatures on Music Intervention for Neurological Patients in Korea (신경계 질환자 대상의 국내 음악중재연구에 대한 체계적 문헌고찰)

  • Jeong, Seong Hee
    • Journal of Korean Biological Nursing Science
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    • v.15 no.2
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    • pp.65-73
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    • 2013
  • Purpose: The purpose of this study was to review the literature on music intervention for neurological patients in Korea and to explore the effect of music intervention on functional rehabilitation of neurological patients. Methods: This systematic review examined literature from 2005 to 2010. The existing literature was searched in the electronic databases of RISS and KISS using the following keywords: music, rhythmic movement, stroke, brain injury, dementia, Parkinson, spinal cord injury. Seventy-seven studies were founded through the database. After The exclusion of duplicates, case studies, literature review, and irrelevant studies, nine studies were included for analysis. Results: They included nine quasi-experimental studies. The medical diagnoses of the study participants were stroke, dementia, brain injury, and spinal cord injury. Among nine studies, only two studies were conducted in the nursing area. Eight studies used comprehensive music programs composed of health education, gait training, vocal training, or relaxation therapy, and these comprehensive programs were effective in the areas of physical and psychosocial treatment. Seventeen sessions were provided on average throughout intervention, and the average duration of each session was 49.4 minutes. Conclusion: Comprehensive music intervention can be implemented in nursing care for patients with neurological problem.

Music Genre Classification Based on Timbral Texture and Rhythmic Content Features

  • Baniya, Babu Kaji;Ghimire, Deepak;Lee, Joonwhon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.204-207
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    • 2013
  • Music genre classification is an essential component for music information retrieval system. There are two important components to be considered for better genre classification, which are audio feature extraction and classifier. This paper incorporates two different kinds of features for genre classification, timbral texture and rhythmic content features. Timbral texture contains several spectral and Mel-frequency Cepstral Coefficient (MFCC) features. Before choosing a timbral feature we explore which feature contributes less significant role on genre discrimination. This facilitates the reduction of feature dimension. For the timbral features up to the 4-th order central moments and the covariance components of mutual features are considered to improve the overall classification result. For the rhythmic content the features extracted from beat histogram are selected. In the paper Extreme Learning Machine (ELM) with bagging is used as classifier for classifying the genres. Based on the proposed feature sets and classifier, experiment is performed with well-known datasets: GTZAN databases with ten different music genres, respectively. The proposed method acquires the better classification accuracy than the existing approaches.

Music Choices of GIM(Guided Imagery and Music) Therapist in GIM: Narrative Literature Review (GIM(Guided Imagery and Music)에서 GIM 치료사의 음악 선택에 관한 내러티브 문헌 고찰)

  • Kim, Young Shil
    • Journal of Music and Human Behavior
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    • v.11 no.1
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    • pp.39-62
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    • 2014
  • The purpose of this research was to review the music choices of GIM therapists in GIM. Seven databases and nine music therapy journals were searched with keywords such as "Guided Imagery and Music", "GIM", "Helen Bonny", "Bonny method", "Music and Imagery" and "BMGIM" between 1964 to 2013. Every abstract was confirmed to see whether it meets this research topic. 12 of 126 articles that described the reasons for music choices were selected. It is the result of narrative literature review that GIM therapists chose music to match clients' qualities of moods, emotions, feelings related with issues and clients' themes in therapy. In 5 articles among the 12 articles, authors chose music with considering music elements analytically to match clients' states. Reasonable explanations for music choice were reviewed in these 5 articles. There were limitations to obtain common facts between articles because most of 126 articles were case studies which described from therapists's point of view in a qualitative way. A more fundamental research is required to obtain rationales of music choices in GIM as a music-centered music psychotherapy for the further research.

Performance Analysis of the Time-series Pattern Index File for Content-based Music Genre Retrieval (내용기반 음악장르 검색에서 시계열 패턴 인덱스 화일의 성능 분석)

  • Kim, Young-In;Kim, Seon-Jong
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.5
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    • pp.18-27
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    • 2006
  • Rapid increase of the amount of music data demands for a new method that allows efficient similarity retrieval of music genre using audio features in music databases. To build this similarity retrieval, an indexing techniques that support audio features as a time-series pattern and data mining technologies are needed. In this paper, we address the development of a system that retrieves similar genre music based on the indexing techniques. We first propose the structure of content-based music genre retrieval system based on the time-series pattern index file and data mining technologies. In addition, we implement the time-series pattern index file using audio features and present performance analysis of the time-series pattern index file for similar genre retrieval. The experiments are performed on real data to verify the performance of the proposed method.

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Music for Pediatric Patients in Medical Settings: A Systematic Review of Randomized Controlled Trials (소아환자를 위한 음악: 무작위 임상연구의 체계적인 문헌고찰)

  • Lee, Jin Hyung
    • Journal of Music and Human Behavior
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    • v.10 no.2
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    • pp.1-33
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    • 2013
  • The aim of this study was to systematically review the latest clinical trials in music medicine and medical music therapy for pediatric patients. Thirteen databases were searched to obtain randomized controlled/crossover design studies published between the year 2000 and 2012 in English language. Out of 1012 articles retrieved in the initial search, fifteen studies were identified based on an exclusion criteria. Overall, selected articles involved children 1 month to 18 years, sample size of 11 to 150, and total participants of 987. Studies were classified and compared as music medicine or music therapy studies through a systematic synthesis assessing general characteristics, methodological quality, measured outcomes, types of interventions and the study results. Seven music medicine and eight music therapy studies measured seven dependent variables using thirty-six different measurement tools with a large heterogeneity in the selection, type, and method of music interventions. Evaluation of the methodological quality revealed that many studies did not provide a full report of the research method, and did not meet some or most methodological standards, such as randomization, allocation concealment, double or partial blinding, and intention to treat analysis. Although overall research results were positive if not significant, poor methodological quality and heterogeneity in design and intervention strategies raise the question of research bias and trustworthiness issues. The systematic review concluded that music may have a valuable clinical effect in addressing the physical and psychosocial needs of hospitalized children, although more rigorous, homogeneous and replicable studies are greatly needed.

The Use of Music for Healthy Elderly : Literature Review (건강한 노화를 위한 음악활용 : 국내·외 연구 고찰)

  • Lee, Yea-Bit-Na;Kim, Soo Ji
    • The Journal of the Korea Contents Association
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    • v.16 no.4
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    • pp.335-346
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    • 2016
  • This study aimed to review Korean-written and English-written studies on music intervention for older adults in terms of research variables and type of music application. Electronic databases and music-related journals were searched and a total of 40 studies, 19 Korean-written and 21 English-written studies, were included for analysis. The results showed that music intervention studies for older adults began to be conducted in Korea in the late 1990s and have continuously increased thus far, which is similar to studies overseas. Emotional area, especially depression, was targeted the most frequently in both studies in Korea and overseas. While singing of traditional folk song or popular music were applied the most in Korean studies, listening to classical music or relaxing music was primarily observed in studies overseas. While both studies in Korea and overseas used original music frequently, Korean-written studies used live music and showed tendency to select music based on preferences of participants more than studies overseas. These results indicate that growing population of older adults and increased needs for successful aging have been sufficiently reflected in studies on music-based intervention. Cultural and societal factors might affect the differences between studies in Korea and studies overseas. Future studies on music intervention considering cultural and societal needs of this population from multidimensional approach were also suggested.