• International Journal of Contents
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• 제8권2호
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• pp.1-6
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• 2012

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environments. We found that dynamic noise reduction (DNR) is the best pre-processing method for a music retrieval system in noisy environments.

• 한국컴퓨터정보학회논문지
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• 제21권4호
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• pp.39-46
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• 2016

While the difficulty of the music can be classified by a variety of standard, conventional methods are classified by the subjective judgment based on the experience of many musicians or conductors. Music score is difficult to evaluate as there is no quantitative criterion to determine the degree of difficulty. In this paper, we propose a new classification method for determining the degree of difficulty of the music. In order to determine the degree of difficulty, we convert the score, which is expressed as a traditional music score, into electronic music sheet. Moreover, we calculate information about the elements needed to play sheet music by distance of notes, tempo, and quantifying the ease of interpretation. Calculating a degree of difficulty of the entire music via the numerical data, we suggest the difficulty evaluation of the score, and show the difficulty of music through experiments.

• 한국정보통신학회논문지
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• 제11권6호
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• pp.1170-1175
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• 2007

본 논문에서는 신경회로망 알고리즘 중 하나인 backpropagation network을 이용한 악보인식 기법과 그에 필요한 악보 영상에 대한 전처리 기법을 제안한다. 전처리과정으로 이진화, 기울기 보정, 오선제거 등의 과정을 수행하여 인식에 필요한 음악 기호와 음표를 분리한다. 분리된 음악 기호와 음표들은 backpropagation 알고리즘을 사용하여 구성된 음표 인식 신경망과 비음표 인식 신경망을 통해 각각 음표와 비음표 인식과정을 거친다. 다양한 복잡도를 가진 악보를 대상으로 한 실험 및 분석 결과를 통해 제안한 악보 인식 기법의 정확도를 기술하였다.

• 디지털콘텐츠학회 논문지
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• 제19권6호
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• pp.1105-1114
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• 2018

최근 국내 음원 시장의 성장 속도가 두드러짐에 따라 음원 흥행 예측의 필요성이 커졌다. 본 논문에서는 인터넷 기사, SNS 등 소셜 데이터와 멜론 주간차트 진입 순위의 상관관계를 분석하여 음원 흥행의 예측 지표를 제안한다. 남자 가수와 여자 가수 각각에 대하여 총 10가지 항목의 소셜 데이터를 수집하였고, 군집 분석을 실시하였다. 이를 통해 남자 가수와 여자 가수 각각의 유의미한 음원 흥행 예측 지표를 발견하였다.

• 아동학회지
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• 제36권6호
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• pp.101-123
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• 2015

The purpose of this study was to examine how musical pieces were presented in music activities on the Teacher's Guidebooks in order for young children to experience the aesthetics of music. For the purposes of this research, the ways to address musical elements and the music activities of 100 musical works in the Teacher's Guidebooks were analyzed. In addition, the aesthetic qualities of the same musical pieces presented by the sound sources were examined. Following this, an analysis of the relationship between the elements used and the aesthetic qualities of the music was carried out by comparing the previous analysis. The results were as follows. First, melody (38.1%), rhythm (29.0%), and timbre (20.5%) were the most utilized elements of musical works in such activities. Secondly, the most utilized method to present music activities was singing. Among 100 musical pieces, 74 pieces used singing activities. Next, the most audible aesthetic quality from sound sources was that of the melody, presented in 69 pieces (46.6%) among 100 musical works. Lastly, among 100 musical works, at least 64 pieces were matched with more than one, whereas 34 did not.

• 아동학회지
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• 제37권2호
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• pp.1-11
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• 2016

Objective: This study examined how child care teachers' playfulness and recognition of music and movement relate to their teaching intention of music and movement. Methods: Participants were 200 child care teachers in Seoul, Incheon and Gyeonggi areas. The data were analyzed for descriptive statistics, pearson's correlation analysis, hierarchical multiple regression analysis, and sobel test. Results: The main results were as follows: First, child care teachers' playfulness, teaching intention of music and movement and their recognition of music and movement were positively correlated. Second, child care teachers' playfulness influenced on their teaching intention of music and movement. Finally, teachers' recognition of music and movement mediated the relationship between teachers' playfulness and their teaching intention of music and movement. Conclusion: This study showed that teachers' playfulness influenced on their positive recognition of music and movement activities, which was the variable that caused mediation in the teachers' playfulness and their teaching attention.

• 한국콘텐츠학회논문지
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• 제14권12호
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• pp.924-934
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• 2014

지난 10년 동안 디지털 음악콘텐츠 시장은 급속도로 확산되고 있으나 다양한 음원 상품과 서비스 상품에 대한 소비자 사용 및 소비에 영향을 미치는 음악콘텐츠 상품의 가치 요인들을 고려한 상품 구성과 가격 정책에 대한 자료는 미비한 실정이다. 이에 본 연구에서는 현재 국내에서 이루어지는 스트리밍과 다운로드 방식의 디지털 음악콘텐츠 서비스 상품을 중심으로 소비자의 서비스 상품 선택에 영향을 미치는 속성으로 장르, 가격, 음질, 이용기기를 정의하고, 헤도닉 가격모형이론과 컨조인트 분석방법을 통해 소비자가 지각하고 있는 속성 요인별 중요도와 부분 가치를 추정하여 디지털 음악콘텐츠 서비스에 대한 소비자 중심의 시장가격과 상품 구성에 대한 전략적 시사점을 제시하고자 했다. 이를 위해 국내 디지털 음악콘텐츠 서비스 사용자 405명의 설문조사를 실시하였으며, 분석 결과 다운로드 방식에서는 '음질' 속성이 스트리밍 방식에서는 '이용기기' 속성이 '가격' 속성보다 중요하게 나타났다. 결론적으로 디지털 음악콘텐츠 서비스 상품 구성 및 가격 책정의 경우 생산자 중심의 가치에 대한 고려를 넘어 소비자 중심의 시장과 소비 속성을 고려한 차별화가 이루어질 수 있어야 함을 살펴볼 수 있었다.

• International Journal of Internet, Broadcasting and Communication
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• 제12권3호
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• pp.116-124
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• 2020

The advantage of the distance learning universities based on the 4th Industrial Revolution is that anyone can conveniently take lectures anytime, anywhere on the web. In addition, research has been actively conducted on the effect of light color and temperature control upon student performance during online classes. However, research on how the conditions of subjects, lighting colors, and music selection improve the degree of a student's concentration during online lectures has not been completed. To solve these problems in this paper, we have developed automatic analysis system SW for the weak subjects of learners by applying intelligent analysis algorithm, have proposed and simulated music therapy and art therapy. Moreover, It proposed in this paper an algorithm for an automatic analysis system, which shows the weak subjects of learners by adopting intelligence analysis algorithms. We also have presented and simulated a music therapy and art therapy algorithms, based on the blended learning, in order to increase students concentration during lecture.

• 복식문화연구
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• 제19권3호
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• pp.579-596
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• 2011

As a sport with artistic characteristics, figure skating draws upon important elements such as costumes, music, melody interpretation, and choreography. The combination of figure skating music and costume is an important influence on scoring, moreover, it forms some images and characteristics of the athlete. The purpose of this study is to consider and analyze the correlation between figure skating music and costumes. The study mostly focuses on the main international competitions from 2008 to 2010, such as the Winter World Figure Skating Championships, Four Continents Figure Skating Championships, Grand Prix of Figure Skating Final and gala shows of a single female and male and female pairs, ice dances of the medalists. The concepts and characteristics of figure skating music were examined collected the literature quotes internet sites, photos and video, clips through the homepage and internet sites. Focusing on the medalists of the main international competitions from 2008 to 2010, following the analysis results of figure skating by genre of music, the differences among classical music, pop music, movie music, musical music, folk music have been classified, and according to the features of music genres, the differences of items, colors, details and accessories of clothing were brought out. Depending on the features of music genres, figure skating costumes have been changed of items, colors, materials, details and accessories. Thus, the close correlation between the story of figure skating music and atmosphere has been analyzed. This study contributes to improve the completion of programs which is completed through the development of figure skating costumes design that is regarded specially for the artistic value.

• 인간행동과 음악연구
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• 제19권2호
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• pp.1-26
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• 2022

본 연구는 중등도 및 중증 치매 노인을 대상으로 한 국내·외 음악 중재 연구를 고찰하여 연구 동향을 알아보고, 참여자의 임상적 특성이 고려된 음악 중재의 특징을 알아보고자 시행되었다. 검색을 통해 선정된 17편의 문헌을 분석한 결과, 종속 변인은 행동심리증상 등 심리·정서적 변인이 주를 이루는 것으로 나타났다. 중재 참여유형을 살펴보면 내담자의 활동 참여가 요구되는 적극적 유형이 감상만 하는 수용적 유형보다 많았다. 중재의 일반적 특성으로는 과반수가 라이브 음악, 친숙하고 선호하는 음악 선곡, 리듬기반 연주활동을 제공한 것으로 나타났다. 적극적 유형의 음악중재 내용을 살펴보면 음악에 맞춰 그룹 연주나 노래를 하며 유발되는 감정을 말하도록 하는 것으로 참여자가 중등도와 중증이 혼합된 경우와 중증 치매만인 경우 차이점이 없어 중증 치매가 지닌 기능적 한계가 충분히 반영되지 않은 것으로 나타났다. 추후 연구에서는 중증 치매 노인의 의미있는 음악경험을 위한 중재구성과 내담자의 치매 진행 정도에 따른 음악치료 전략 개발이 필요하다.