• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.11a
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• pp.36-37
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• 2013

음악 장르 분류 분야에서는 다양한 특징을 모아서 사용하는 방법과 support vector machine (SVM) 분류기가 주로 사용되고 있다. 이 논문에서는 거리 함수 학습를 음악 장르 분류에 적용하여 성능 향상을 꾀한다. 여러 거리 함수 학습 방법 중 하나의 방법을 선택하고, 일반적으로 많이 사용되는 특징 셋을 활용하여 다양한 특징 셋에 대해서 적용하였을 때, 실제 성능 향상이 있는지를 알아본다. 세 종류의 특징 셋을 사용하여 실험한 결과 두 가지 특징이 같이 있는 특징 셋에 대해서만 성능 향상이 있었으며, SVM보다 높은 성능을 보이지 못 했다.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.497-510
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• 2013

The researcher's objective is to analyze a case study from the teaching profession course entitled "Instructional Methods and Educational Technology: IMET," in which the instructional method 'Music Technology-Based Learning: MTBL' has been implemented. In addition to the analysis and the completion of the associated 16-week coursework, the researcher conducted an open-ended survey, and conducted and analyzed in-depth interviews, with participants in the case study. Using MTBL in IMET has elicited mostly favorable responses from participants such as "interesting" and "fun." They also mentioned "active learning participation." There were also negative responses to MTBL, citing "the lack of interconnection between MTBL and other teaching profession courses," "the difficulty of hybrid and convergence classes," and "the need for additional time and attention in an individual study." The analysis of this case study indicates that the use of MTBL in teaching profession courses somewhat enhances the understanding of the general concept of integrating technology into education, although some difficulties remain. The analysis of more case studies is required in order to establish more effective training courses, in which learning is not limited to the theoretical aspects of education. Using MTBL as an integrated part of the educational method would help to foster more creative and professional teachers.

• Journal of Music and Human Behavior
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• v.18 no.1
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• pp.79-102
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• 2021

The purpose of this study was to identify the teaching methods used in inclusive music classes at elementary schools by of music in elementary school inclusive classes through the application of understanding by design and differentiated instruction, and to explore the feasibility of inclusive education. To this end, based on the 2.0 version of the backward design template, a unit for music lessons for 3rd and 4th grade inclusive classes was developed. The unit presented elements of differentiated instruction that considered students with intellectual disabilities at each stage. In the first stage, goals and essential questions were presented by analyzing the curriculum's achievement standards. In the second stage, a performance task was developed using the GRASPS technique, guidelines and examples were presented. Various evaluation methods based on students' readiness, interest, and learning type were suggested. In the third stage, the unit's seven lessons were planned using the WHERETO model. Examples of differentiated instruction for students with intellectual disabilities were presented by flexibly using classroom elements. This study indicated that understanding by design and differentiated instruction can be applied to inclusive education. Future studies on more diversified educational design and strategies are needed for promoting inclusive education.

• Journal of Music and Human Behavior
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• v.7 no.1
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• pp.1-15
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• 2010

The purpose of this study is to inquire into the theoretical background of music therapy interventions for the improvement of mathematical concepts among young children with special needs. The researcher provides a basis of theoretical background about musical activities as an effective tool for young children to understand and promote their mathematical concepts, and the necessity of practical application in the field of mathematics education is suggested. Music, as a multi-sensory modality, has an ability to hold and maintain one's attention, and can be used as a memory aid and a powerful and effective motivator and reinforcer for young children. Therefore, musical activities can be used to facilitate mathematical concepts in the field of education for young children. Possible musical activities for promoting mathematical development are suggested, and the necessity for developing various musical activities is discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3673-3679
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• 2010

This study is prepared to suggest how to develop sight-singing and ear-training program for applied music-major students. Starting from analysing the internal environment and currently existing materials, based on the questions collected for applied music-major students, integrated program for sight-singing and ear-training was considered. The use of the various kinds of classical and popular music literature, the examples of improvisation in rhythm and harmony, based on the music theories, are focal points of this program recommended here with.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.119-120
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• 2018

본 논문에서는 음악을 듣고 어떤 음악인지 인식하고 판별하는 음원분류 시스템과 해당 기술 구현을 딥러닝을 통해 적용하도록 제안하였다. 제안한 시스템은 인공심층신경망을 통해 음원파일을 여러 음원 특징 추출 모델에 따라 검출된 특징들을 학습하여 해당 음원의 고유한 보컬이나 반주의 특색 등을 찾아내어 이를 인식할 수 있도록 구현하였다. 이를 통해, 기존의 Fingerprint 방식의 데이터베이스 검색 시스템과는 다른 접근방식으로 보다 사람이 음악을 기억하는 방법에 가깝도록 구현하여 능동성과 유연성을 개선하고 다양한 응용분야로 활용할 수 있는 시스템을 제안하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.986-989
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• 2019

인공지능에 대한 연구가 계속되고 있지만 음악, 미술, 문학 등 창의력과 예술성을 요구하는 부문에서는 인공지능을 적용하기 어렵다. 하지만 그중 음악 부문에 인공지능을 접목시켜 기존에 없던 곡을 작곡해보고자 한다. LSTM 기반의 모델을 ABC Notation 악보 데이터를 활용하여 학습시켜 사용자들이 음악적 지식 없이도 새로운 음악을 작곡할 수 있도록 딥러닝을 기반으로 한 BGM 음원 작곡 서비스를 제안한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.89-94
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• 2021

In this paper, we presented the results of analysis with data obtained through EEG measurements to confirm the effect of musical stimulus when performing mathematical tasks. While the subject was solving a mathematical task, favorite and unfavorite music classified according to the subject's preference were presented as musical stimulus and the tasks were divided into memorization task and procedure task. The data measured in the EEG experiments was divided into theta waves, SMR waves and mid-beta waves which are the frequency bands related to concentration to compare the relative power spectrum values. In our results, in the case of comparing no music with favorite music and no music with unfavorite music, a significant difference was observed in the several channels, and the average difference was shown in the channels F3 and F4 of the frontal lobe. In that channels, the power was found to be greater when the music was presented than the case where there was no music. Depending on the subject's preference, it was confirmed that favorite music showed greater brain activity than unfavorite music.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.13-20
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• 2019

For customized education, it is essential to search the learning path for the learner. The genetic algorithm makes it possible to find optimal solutions within a practical time when they are difficult to be obtained with deterministic approaches because of the problem's very large search space. In this research, based on genetic algorithm, the learning paths to learn 200 chords in 27 music sheets were optimized to maximize the learning effect by balancing and minimizing learner's burden and learning size for each step in the learning paths. Although the permutation size of the possible learning path for 27 learning contents is more than $10^{28}$, the optimal solution could be obtained within 20 minutes in average by an implemented tool in this research. Experimental results showed that genetic algorithm can be effectively used to design complex learning path for customized education with various purposes. The proposed method is expected to be applied in other educational domains as well.

• Journal of Music and Human Behavior
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• v.3 no.2
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• pp.1-14
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• 2006

The purpose of this study is to examine the effect of violin learning as to enhance the attention span and impulsiveness of children with Attention Deficit Hyperactivity Disorder(ADHD). Three children with ADHD, grade 2, 3, 4 were selected to participate in the research. A total of 15 session were given during 8 week time span, including a final performance session. For measurement, Korean-Child Behavior Checklist(K-CBCL), Home Situation Questionnaire-Revised (HSQ-R), Conners Teacher Rating Scale-Revised (CTRS-R) were administered before and after the implementation. Other behavioral checklist were used to record inappropriate or interruptive behaviors. The results showed that violin learning has increased attention span and reduced impulsive behaviors of all three children with ADHD. Along with these changes, the identified inappropriate behaviors reduced as sessions progressed. Also the changes observed within the music environment were generalized to non-music environment, such as family and school. These results also indicate that violin can be a therapeutic medium used in music therapy setting to bring positive changes for children with ADHD problems.