• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.426-432
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• 2020

Music with the development of the media since the 20th century marks a change into an era where the live performance and music of the masses, which were hard to imagine in previous times, are shared. Based on this cultural trend, teenage music, which has been completely alienated from existing culture, is in line with the birth of Rock 'n' Roll, an event that has entered the mainstream, and the emergence of the guitar, especially the solid body electric guitar. The Fender Stratocaster, which is referred to as the epitome of this electric guitar, has joined the history of popular music for rock 'n' roll. To this day, the immense influence, which still encompasses many followers and generations, has served as a bridge that continues to be reproduced, even in the historical trend of popular music and the status of electric guitars. In addition, even in the rapid development of popular music and media, we will always be able to give true meaning and value to the vitality with the times. This paper examines the features and marks of these Fender Stratocasters.

• The Journal of the Acoustical Society of Korea
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• v.30 no.8
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• pp.461-467
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• 2011

Accurate classification of input signals is the key prerequisite for variable bit-rate coding, which has been introduced in order to effectively utilize limited communication bandwidth. Especially, recent surge of multimedia services elevate the importance of speech/music classification. Among many speech/music classifier, the ones based on support vector machine (SVM) have a strong selling point, high classification accuracy, but their computational complexity and memory requirement hinder their way into actual implementations. Therefore, techniques that reduce the computational complexity and the memory requirement is inevitable, particularly for embedded systems. We first analyze implementation of an SVM-based classifier on embedded systems in terms of execution time and energy consumption, and then propose two techniques that alleviate the implementation requirements: One is a technique that removes support vectors that have insignificant contribution to the final classification, and the other is to skip processing some of input signals by virtue of strong correlations in speech/music frames. These are post-processing techniques that can work with any other optimization techniques applied during the training phase of SVM. With experiments, we validate the proposed algorithms from the perspectives of classification accuracy, execution time, and energy consumption.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.222-232
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• 2017

The purpose of this study is to examine the effect of music therapy using Korean traditional rhythmic modes on the upper extremity function of elderly people with dementia. The subjects of this study were 13 patients at the age of 65 or more with dementia receiving long-term care in a nursing home in B City. It was analyzed that the effects of music therapy through the evaluation of manual function test (MFT), Activities of daily living (ADL), Korea dementia rating scale-2 test before and after the experiment. As a result, both of the scores of MFT and ADL were higher than after music therapy(p <.05) as well as Korea dementia rating scale-2 test score(management part). This indicates that the music therapy using Korean traditional rhythmic modes could improve function of the upper extremity with dementia as well as activities of daily living and management of dementia care. In conclusion, music therapy would be helpful to the improvement of not only the physical but also the cognitive function of elderly people with dementia, and it could be effectively employed in clinical settings.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.218-223
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• 2011

Various research studies are underway to explore music classification by genre. Because sound professionals define the criterion of music to categorize differently each other, those classification is not easy to come up clear result. When a new genre is appeared, there is onerousness to renew the criterion of music to categorize. Therefore, music is classified by emotional adjectives, not genre. We classified music by light and shade in precedent study. In this paper, we propose the music classification system that is based on emotional adjectives to suitable search for atmosphere, and the classification criteria is three kinds; light and shade in precedent study, intense and placid, and grandeur and trivial. Variance Considered Machines that is an improved algorithm for Support Vector Machine was used as classification algorithm, and it represented 85% classification accuracy with the result that we tried to classify 525 songs.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.235-245
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• 2020

This study was a literature review to investigate the trends and characteristics of music intervention studies on psychological support for children and adolescents from multicultural families. A total of 19 researches(13 theses and 6 articles) from 2009 to 2018 was reviewed through the selection and exclusion criteria. First, in the general characteristics, researches employing quasi-experimental design and those of one-group pre-post tests scored a higher ratio, and studies for children under the age of 13 also showed the highest percentage. Second, about the intervention characteristics, the goal mainly focussed on self-related factors such as self-identity, self-esteem and self-concept, and with the intervention type, there were mostly found the group activities integrating singing, playing and creating. It is meaningful that this study can be used as basic data developing music intervention programs for them, and suggesting music intervention considering the characteristics of them will be conducted more actively in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.569-572
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• 2014

많은 사람들이 자동차를 교통수단으로 이용함에 따라서 다양한 자동차 액세서리 및 관심을 가지게 되면서, 자동차에서 다양한 여가 활용을 즐길 수 있게 되었다. 그와 함께 스마트폰 보급이 활성화가 되게 되면서 음악을 스마트폰으로 이용하여 들으면서 차에서도 많이들 활용하게 되었다. 하지만, 이러한 스마트폰 사용을 하게 됨으로 인해서 자동차 안에서 스마트폰을 사용하여 사고가 일어나는 빈도가 점점 많아지게 되었다. 그로 인해서 운전자들이 안심하고 사용할 수 있는 어플리케이션 개발이 필요로 하게 되었다. 현재 나와 있는 어플리케이션 중에 Bugs Driver라는 음악 재생 어플리케이션이 있지만, 이 어플리케이션은 차량 운전자를 위한 특별한 기능을 가지고 있지는 않고, 기존 음악 어플리케이션에서 기능을 축소한 음악 어플리케이션이다. 또한, 직관적이지 않은 UI(User Interface)를 가지고 있으며, 속도 또한 충분히 빠르지 않아 운전자가 이용하기에 적합한 어플리케이션이 아니다. 이에 본 연구에서는, 차량 안에서도 안전하고 편리하게 사용할 수 있는 음악 어플리케이션을 개발하였다. 이 어플리케이션은 움직임을 최소화 할 수 있는 UI 와 모션인식을 이용한 어플리케이션 조작, 일정 속도 이상으로 주행 시 어플리케이션을 조작하지 못하도록 하는 기능을 가지고 있다. 음악 관련 정보는 (주)네오위즈의 벅스 어플리케이션 API 를 이용하였고, 모션인식은 OPENCV를 이용하여 구현 하였다.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.315-331
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• 2012

In this research, we estimated the number of hits per song and its sampling error from 11 (areas including Gangnam) based on log data compiling the number of hits collected from offline karaoke players in March 2011. Then, we calculated the monetary equivalent of the sampling error under the current system that distribute royalties from the karaoke players to copyright holders(song writers and arrangers) according to the estimated hits. Because of the small sample size, the estimated number of hits had a very large sampling error. This research proposes a more reasonable sample design to estimate the usage of copyrighted music works for a fair distribution of royalties by reducing sampling error.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.687-687
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• 2004

예술의 전당 하부를 통과하는 우면산터널은 예술의 전당 자료관, 오페라하우스, 음악당, 서예관, 미술관 등의 건물과 인접하여 설계되었다. 이들 건물은 진동의 전달경로에 따라 구조-구조의 전달경로인 자료관과 구조-지반-구조의 전달경로인 오페라하우스, 음악당, 서예관으로 분류할 수 있다. 자료관은 하부의 기조 중 일부가 우면산 터널의 통과를 위해 설치한 박스(box) 터널 상부와 구조계를 형성하고 있고, 오페라하우스와 음악당 및 서예관 주변으로는 우면산 터널의 상행선과 하행선이 각각 인접하여 통과하는 구조계를 형성하고 있다. 본 연구는 서울시 서초구 서초동～우면동에 이르는 우면산 터널에 실험 차량이 통과할 때 차량 통행으로 인해 발생하는 진동이 예술의전당 자료관, 오페라하우스, 음악당, 서예관 등의 건축구조물에 전달되는 고체전파음의 발생특성 파악하고, 예술의전당 통과구간에 방진패드에 의한 도로포장 공사 후 그에 대한 효과를 비교하였다. 또한, 우면산 터널 예술의 전당 통과구간에 대하여 다공성 아스팔트로 도로포장한 후 그에 대한 효과도 파악하였다.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.10
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• pp.399-406
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• 2021

With the steady growth of the content industry, the need for research that automatically recommending content suitable for individual tastes is increasing. In order to improve the accuracy of automatic content recommendation, it is needed to fuse existing recommendation techniques using users' preference history for contents along with recommendation techniques using content metadata or features extracted from the content itself. In this work, we propose a new graph-based music recommendation method which learns an LSTM-based classification model to automatically extract appropriate tagging words from sound data and apply the extracted tagging words together with the users' preferred music lists and music metadata to graph-based music recommendation. Experimental results show that the proposed method outperforms existing recommendation methods in terms of the recommendation accuracy.

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.3-14
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• 2006

Music summarization means a technique which automatically generates the most importantand representative a part or parts ill music content. The techniques of music summarization have been studied with two categories according to summary characteristics. The first one is that the repeated part is provided as music summary and the second provides the combined segments which consist of segments with different characteristics as music summary in music content In this paper, we propose and evaluate two kinds of music summarization techniques. The algorithm using multi-level vector quantization which provides a repeated part as music summary gives fixed-length music summary is evaluated by overlapping ration between hand-made repeated parts and automatically generated summary. As results, the overlapping ratios of conventional methods are 42.2% and 47.4%, but that of proposed method with fixed-length summary is 67.1%. Optimal length music summary is evaluated by the portion of overlapping between summary and repeated part which is different length according to music content and the result shows that automatically-generated summary expresses more effective part than fixed-length summary with optimal length. The cluster-based algorithm using 2-D similarity matrix and k-means algorithm provides the combined segments as music summary. In order to evaluate this algorithm, we use MOS test consisting of two questions(How many similar segments are in summarized music? How many segments are included in same structure?) and the results show good performance.