• 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.

• International Journal of Advanced Culture Technology
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• 제12권3호
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• pp.362-369
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• 2024

In this paper, we analyze and study about the incidental music focusing on the Frederick Delius's choral music without instrumental accompaniment. Incidental music refers to music composed for a play, often played between acts or as background music. Typically, incidental music is discussed within the realm of classical music, but historically, it has evolved into background music for various media. Additionally, incidental music is predominantly instrumental rather than vocal or choral. However, Frederick Delius expanded the scope of incidental music to include choral elements. Delius's efforts opened new possibilities for incidental music, enhancing the integration of drama and music. His works transcend mere background music, enriching the atmosphere and emotions of the play. This provides the audience with a more immersive experience and elevates the artistic value of incidental music. Frederick Delius's unaccompanied choral work, "Two songs to be Sung of a Summer Night on the Water" is characterized by their lack of lyrics and melodic and harmonic texture, making them even more suitable as incidental music.

• 셀메드
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• 제11권1호
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• pp.5.1-5.2
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• 2021

The aim of this article is to argue that BanLyeo music (companion music) is much better than medicine. A companion who shares thoughts or actions, or a metaphorical description of an object that is always close or carried. Isn't the music that we share in our daily lives a BanLyeo music (companion music)? Music stays with us forever as long as we choose. Therefore, it is music that can go with us until the end, so I think we should call it BanLyeo music (companion music). Music can be with us whenever and wherever we want, soothing sadness and pain and cheering us up. Here is a person who is living a second life happily because of BanLyeo music. Beyond the passive listening to music, direct and active music performance is a great power to save one person. As a more effective healing agent than medicine, BanLyeo music is a great power to stay together for the rest of your life and cheer you up. So, I think music is much better than medicine.

• 말소리와 음성과학
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• 제1권1호
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• pp.63-67
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• 2009

In this paper, in order to protect music copyrights, we propose a music identification system which is scalable to the number of pieces of registered music and robust to signal-level variations of registered music. For its implementation, we define the new concepts of 'music word' and 'music phoneme' as recognition units to construct 'music acoustic models'. Then, with these concepts, we apply the HMM-based framework used in continuous speech recognition to identify the music. Each music file is transformed to a sequence of 39-dimensional vectors. This sequence of vectors is represented as ordered states with Gaussian mixtures. These ordered states are trained using Baum-Welch re-estimation method. Music files with a suspicious copyright are also transformed to a sequence of vectors. Then, the most probable music file is identified using Viterbi algorithm through the music identification network. We implemented a music identification system for 1,000 MP3 music files and tested this system with variations in terms of MP3 bit rate and music speed rate. Our proposed music identification system demonstrates robust performance to signal variations. In addition, scalability of this system is independent of the number of registered music files, since our system is based on HMM method.

• 한국보육지원학회지
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• 제15권2호
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• pp.125-144
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• 2019

Objective: The purpose of this study was to examine the effects of early childhood teachers' music attitude and emotional leadership on their music teaching efficacy in the music education. Methods: 301 early childhood teachers answered the music attitude scale, music teaching efficacy belief instrument, emotional leadership scale, and questionnaire for socio-demographic characteristics and music experiences. Data were analyzed by t-test, one-way ANOVA, Pearson's productive correlation analysis and hierarchical regression analysis. Results: First, early childhood teachers had a higher music teaching efficacy in case of at least 10 years of teaching experiences period, having a post-graduate degree, having a music training experience, enjoying learning musical instruments and singing and listening to music during regular music lessons, and having a long music training experience. Similar results were derived from the subfactors of music teaching efficacy. Second, there were positive correlations(r=.172-.659, p < .001) in the total and subfactors scores among early childhood teachers' music attitude, emotional leadership, and music teaching efficacy. Lastly, early childhood teachers' music attitude and their emotional leadership were explained at 39~52 percent for their music teaching efficacy. Conclusion/Implications: This study suggests that it is important for early childhood teachers' perception of their belief, knowledge and feeling about music education.

• 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.

• 한국보육지원학회지
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• 제16권5호
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• pp.27-45
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• 2020

Objective: The purpose of this study is to develop a music making program that utilizes the characteristics of the picture books medium through the ADDIE model so that teachers can easily apply it to children, and to determine whether it affects children's musical aptitude and music creativity. Methods: The Participants of the study were 42 five-year-old children attending a daycare in Seoul, of which 20 were in the experimental group and 22 in the comparative group. The experimental group participated in a music production program using picture books, and during the same period, the comparison group participated in music activities suggested by the Nuri Course. Using the SPSS 22.0 program, average, standard deviation, independent sampling t-test, and ANCOVA(Analysis of Covariance) were calculated. Results: The music making program using picture books improved children's rhythm and tone which are the sub-items of music aptitude. The music making program enhanced children's music flexibility, music creativity, music logic which are the sub-items of music creativity. Conclusion/Implications: The music making program presented systemic teaching-learning method with which teachers explained the modeling and practiced from simple activities to various activities repeatedly in order to make teachers approach music making more easily. It is recommendable to make the music making program by using I-pad and computers.

• ETRI Journal
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• 제46권4호
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• pp.697-707
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• 2024

Music identification is widely regarded as a solved problem for music searching in quiet environments, but its performance tends to degrade in TV broadcast audio owing to the presence of dialogue or sound effects. In addition, constructing an accurate dataset for measuring the performance of background music monitoring in TV broadcast audio is challenging. We propose a framework for monitoring background music by automatic identification and introduce a background music cue sheet. The framework comprises three main components: music identification, music-speech separation, and music detection. In addition, we introduce the Cue-K-Drama dataset, which includes reference songs, audio tracks from 60 episodes of five Korean TV drama series, and corresponding cue sheets that provide the start and end timestamps of background music. Experimental results on the constructed and existing datasets demonstrate that the proposed framework, which incorporates music identification with music-speech separation and music detection, effectively enhances TV broadcast audio monitoring.

• 경영정보학연구
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• 제16권3호
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• pp.49-68
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• 2014

대다수의 국내외 온라인 디지털 음원 유통 사이트들은 음원 판매 활성화 방책의 일환으로 음원 추천시스템을 가지고 있다. 국외의 경우와 다르게, 우리나라의 시장점유율이 가장 높은 온라인 디지털음원 유통 사이트 5곳은 독자적인 기준으로 추천 음원을 선정하고 있으며, 추전 음원의 선정 기준 및 절차를 소비자에게 공개하고 있지 않다. 본 연구는 국내 온라인 디지털 음원 유통 사이트가 보유한 음원 추천시스템의 공정성 여부를 확인하고, 이러한 음원 추천시스템으로부터 선정된 추천 음원이 음원차트에서 어떠한 영향력을 갖는지 확인하는 것을 목적으로 한다. 2012년 11월부터 약 한달 간 온라인 디지털 음원 유통 사이트의 일간 음원차트에 등록되어 있는 1위부터 100위까지의 음원과 추천 음원을 수집하였다. 먼저, 수집된 음원 데이터를 기반으로 음원 추천시스템의 공정성 여부를 실증적인 방법으로 확인하였다. 첫째, 추천 음원의 노출 위치를 분석하였으며 둘째, 추천 음원이 제공되는 서비스 구조를 확인하였다. 셋째, 기획사에 따른 추천 음원 분포를 확인하였다. 더 나아가 이러한 음원 추천시스템으로부터 선정된 추천 음원이 음원차트 내에서 어떠한 영향력을 갖는지 실증적인 분석 방법으로 확인 하였다. 첫째, 음원차트의 동일 비동일 진입 시기에 따라 추천 음원과 미추천 음원의 순위 변화를 비교 분석하였다. 둘째, 모든 사이트에서 동시에 중복 추천된 음원과 단일 추천된 음원의 순위 변화를 비교 분석하였다. 셋째, 추천 받은 음원이 음원차트에 처음으로 진입하는 시기 및 순위를 확인하였다. 넷째, 음원차트 상위권 순위에 분포되어 있는 추천 음원의 비율을 확인하였다. 본 연구는 국내 온라인 디지털 음원 유통 사이트가 보유한 음원 추천시스템의 현행 및 현상에 대해 실증적으로 분석하여 공정성 문제를 제기하였으며, 음원 추천시스템이 음원차트에 미치는 파급력을 확인하였다는 것에 학술적 의의를 가진다. 또한 온라인 디지털 음원 유통 사이트의 내 외부 이해관계자에게 음원 추천시스템 악용에 대한 경각심을 고취시켜 음원차트의 공정성을 확보하고자하는 것에 산업적 의의를 가진다.

• 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.