• 한국HCI학회:학술대회논문집
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• 2006.02a
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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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• 2007.02a
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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.

• Journal of the Korean Magnetic Resonance Society
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• v.24 no.1
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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.

• Journal of the Korean Home Economics Association
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• v.44 no.9
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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.

• International Journal of Contents
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• v.9 no.4
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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.

• Journal of the Korea Society of Computer and Information
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• v.22 no.8
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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.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.399-406
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• 2022

The purpose of this study is to increase the development possibility of K-pop music by analyzing K-pop music and analyzing the use of world music in it. As a research method, we will first look at the world music elements Puerto Rico's reggaeton, Jamaica's toasting, and the melody of Indian music. After that, we analyze two songs, Hyo-yeon's and Hyun-A & Dawn's , with rhythm and melody elements to find out the utilization of World Music. As a result of the study, it was found that it rhythmically showed the type of Dembow rhythm derived from Puerto Rico's reggaeton, and melody followed the form of Jamaican toasting and the melody of Arabic music. This study is meaningful in presenting the possibility of development and various directions of K-pop in the future by analyzing the use of world music used in K-pop music. Through the convergence of various world music and K-pop, I hope that K-pop music will become a culture that is supported by a wider public.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.3
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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.

• Journal of Korea Game Society
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• v.20 no.2
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• pp.75-90
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• 2020

The purpose of this study is to identify the functional role of music, which is one of the main elements that make up PC games. To this end, theme music by genre of PC game was divided through analysis and then the relationship between variables was analyzed by visually positioning the distance between 'music type', 'structural element of music' and 'image' using multiple correspondence matching analysis. As a result, it was confirmed that there was a difference in location between the types of music by game genre, the structural elements of music, and the characteristics of the image.

• 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.