• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2006년도 학술대회 1부
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• pp.400-405
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• 2006

In this paper, we present effective methods for music summarization which summarize music automatically. It could be used for sample music of on-line digital music provider or some music retrieval technology. When summarizing music, we use different two methods according to music length. First method is for finding sabi or chorus part of music which can be regarded as the most important part of music and the second method is for extracting several parts which are in different structure or have different mood in the music. Our proposed music summarization system is better than conventional system when structure of target music is explicit. The proposed method could generate just one important segment of music or several segments which have different mood in the music. Thus, this scheme will be effective for summarizing music in several applications such as online music streaming service and sample music for Tcommerce.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.268-273
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• 2007

In this paper, we present effective methods for automatic music recommendation system which automatically recommend music by signal processing technology. Conventional music recommendation system use users’ music downloading pattern, but the method does not consider acoustic characteristics of music. Sometimes, similarities between music are used to find similar music for recommendation in some method. However, the feature used for calculating similarities is not highly related to music characteristics at the system. Thus, our proposed method use high-level music characteristics such as rhythm pattern, timbre characteristics, and the lyrics. In addition, our proposed method store features of music, which individuals queried, to recommend music based on individual taste. Experiments show the proposed method find similar music more effectively than a conventional method. The experimental results also show that the proposed method could be used for real-time application since the processing time for calculating similarities between music, and recommending music are fast enough to be applicable for commercial purpose.

• 대한가정학회지
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• 제44권9호
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• pp.9-19
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• 2006

The purpose of this study was to investigate the relationships among early childhood teachers' attitudes toward music education, music teaching practice, and music teaching efficacy. A total of 255 early childhood teachers participated in the study and data were analyzed through frequency, percentile, mean, standard deviation, t-test, and Pearson's correlation. The results of this study indicated that early childhood teachers' music teaching efficacy, attitudes toward music education and music teaching practice were influenced mainly by the teacher's own educational level. They also showed that early childhood teachers' music teaching efficacy, attitudes toward music education, and music teaching practice were correlated with one another. In conclusion, the early child teachers' sense of music teaching efficacy turned out to be a very important factor in early childhood teachers' music education.

• 한국자기공명학회논문지
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• 제24권1호
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• pp.23-29
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• 2020

Mozart's music has been suggested to affect spatio-temporal reasoning of listeners, which has been called "Mozart effect". However, the effects of Mazart's music on human metabolism have not been known. We dissected Mozart's music into its compositional elements and studied their effects on metabolism of experimental animals. Mozart music significantly reduced cortisol level induced by stress. NMR metabolomic study revealed different urine metabolic profile according to the listening to Mozart's music. In addition, each element of music exhibited different metabolic profile. Functional MRI study also showed enhanced brain activity upon listening to Mozart's music. Taken together, Mozart's music seems to be related with brain activity, stress hormone and whole body metabolism.

• International Journal of Contents
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• 제9권4호
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• pp.78-85
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• 2013

Music functions as a catalyst for various emotional experiences. Among the numerous genres of music, film music has been reported to induce strong emotional responses. However, the effectiveness of film music in evoking different types of emotions and its relationship in terms of which musical elements contribute to listeners' perception of intended emotion have been rarely investigated. The purpose of this study was to examine the congruence between the intended emotion and the perceived emotion of listeners in film music listening and to identify musical characteristics of film music that correspond with specific types of emotion. Additionally, the study aimed to investigate possible relationships between participants' identification responses and personal musical experience. A total of 147 college students listened to twelve 15-second music excerpts and identified the perceived emotion during music listening. The results showed a high degree of congruence between the intended emotion in film music and the participants' perceived emotion. Existence of tonality and modality were found to play an important role in listeners' perception of intended emotion. The findings suggest that identification of perceived emotion in film music excerpts was congruent regardless of individual differences. Specific music components that led to high congruence are further discussed.

• 한국컴퓨터정보학회논문지
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• 제22권8호
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• pp.85-91
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• 2017

Although various music composition programs for PCs have become commonplace, the reasons why people think it is hard to make music are the lack of experience with musical instruments, the lack of knowledge of music or composition, and the fear of learning MIDI software. In this paper, we propose an effective method to solve this problem by using plain text based method which makes it easy for the general people who do not know MIDI, have little experience of musical instruments, and cannot even read music to make their own music. As a result, many people who like music but have not been able to produce their own music may produce and distribute music, and collaborate with others to produce better quality music.

• 디지털융복합연구
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• 제20권3호
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• pp.399-406
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• 2022

본 연구의 목적은 케이팝 음악을 분석하여 그 속에서 월드 뮤직의 사용 형태를 찾아내고 이를 통해 케이팝 음악의 발전 가능성을 높이는 것에 그 목적이 있다. 연구 방법으로는 먼저 월드뮤직요소인 푸에르토리코의 레게톤과 자메이카의 토스팅, 인도음악의 선율을 알아볼 것이다. 그리고 효연의 와 현아&던의 <핑퐁> 두 곡을 리듬적 요소와 선율적 요소로 분석하고 그 속에서 월드 뮤직의 사용 형태를 찾아볼 것 이다. 연구 결과, 리듬적으로 푸에르토리코의 레게톤에서 파생된 뎀보우 리듬의 유형을 보였고, 선율적으로는 자메이카의 토스팅의 형태와 아랍음악의 선율을 따르고 있음을 알 수 있었다. 본 연구는 케이팝 음악에서 사용된 월드뮤직의 사용 형태를 분석하여 향후 케이팝의 발전 가능성과 다양한 방향성을 제시하는 것에 의의를 갖는다. 다양한 월드 뮤직과 케이팝의 융합을 통해 케이팝 음악이 조금 더 폭넓은 대중의 지지를 받는 문화로써 자리 잡기를 기대해 본다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권3호
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• pp.192-195
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• 2008

People have tendency of forgetting music title, though they easily remember particular part of music. If a music search system can find the title through a part of melody, this will provide very convenient interface to users. In this paper, we propose an algorithm that enables this type of search using feature transformation function. The original music is transformed to new feature information with sequential melodies. When a melody that is a part of search music is given to the system, the music retrieval system searches the music similar to the feature information of the melody. Moreover, this transformation function can be easily extended to various music recognition systems.

• 한국게임학회 논문지
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• 제20권2호
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• pp.75-90
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• 2020

본 연구의 목적은 PC게임을 구성하는 주요한 요소 중 하나인 음악의 기능적 역할을 알아보는데 있다. 이를 위해 PC 게임의 장르별 테마음악을 분석 유목을 통해 구분한 후 다중 대응일치분석을 사용하여 '음악종류', '음악의 구조적 요소', '이미지' 간의 거리를 시각적으로 위치화하여 변인간의 관련성을 분석하였다. 그 결과 게임 장르별 음악의 종류와, 음악의 구조적 요소, 이미지의 특성별 공간의 위치적 차이가 있음을 확인하였다.

• The Journal of the Acoustical Society of Korea
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• 제26권2E호
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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.