• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.826-836
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• 2016

Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

• 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 Ergonomics Society of Korea
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• v.27 no.3
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• pp.15-22
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• 2008

The purpose of this study was to define the effects of noise and background music on the trunk muscle fatigue during dynamic lifting and lowering tasks. Six healthy male subjects with no prior history of low back disorders participated in this study. The participants were exposed to two levels of background noise such as 40dB noise and 90dB noise and three levels of background music such as no music, slow music, and fast music. Six different combinations of background noise and background music were played while the participants were performing the lifting task at 15% level of Maximum Voluntary Contraction. Electromyography signals from six muscles were collected and fatigue levels were analyzed quantitatively. In results, the 90dB noise increased trunk muscle fatigue and slowed down the recovery. The trunk muscle fatigue was the lowest when the fast music was played for as background. After recovery, the 90dB noise increased trunk muscle fatigue. The trunk muscle fatigue was the lowest when the slow music was played for as background. The results can be useful to manage the cumulative fatigue of trunk muscles due to background noise and music during repetitive lifting and lowering tasks in industry.

• Journal of Music and Human Behavior
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• v.13 no.1
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• pp.19-40
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• 2016

This study provides numerical data on the status of music therapy practices in 54 hospice and palliative care settings in Korea. Two different questionnaires for music therapists and coordinators were sent to 54 coordinators via email, and 47 (87%) hospitals and centers replied by email or post. The survey period was October 30 through December 5, 2014. Music therapists were asked to respond to 65 questionnaire items regarding working conditions, environment, session process, and personal competence. Coordinators were asked to complete 28 questionnaire items regarding the status of music therapy in their perspective setting. Twenty-two (46.8%) hospitals and centers were running music therapy programs with 28 music therapists, and 19 (67.9%) of these music therapists majored in music therapy. There was a significant difference between music therapists (M= 3.43, SD = 0.96) and coordinators (M= 2.73, SD = 0.77) regarding conditions and environment of music therapy sessions (p < .05). The circumstances and conditions for music therapy are inad quate for optimal implementation of music therapy practice. However, the perceived benefits of music therapy by coordinators suggest that music therapists do play an important role in hospice and palliative care. This research provides the first quantitative baseline data of music therapy status in hospice and palliative care settings in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.104-108
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• 2016

African-American music heavily influences a variety of musical genres, including folk music, jazz, rhythm and blues, soul, and funk music. The music derived from traditional African music with its unique syncopated rhythm using a five-note pentatonic scale, and has developed through significant influences from gospel music. African-American music has also evolved through historical social movements, such as eliminating the racial discrimination, and has been influenced by the personalities of different cities in the United States. Modern music features fusion with elements of Western music. One of the most influential and respected artists of the 20th century was Stevie Wonder, who was known as "Father of African-American music." He was an accomplished artist, winning numerous awards despite being disabled. He has become one of the most famous and respected artists worldwide. This study of Stevie Wonder's life, music, and spiritual strength, aims to highlight his significant achievements and contributions to pop music. This is a study based on an analysis of the work of Stevie Wonder and describes how elements of African-American music influences current Korean pop music and musicians.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.51-57
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• 2015

Digital braille music is an indispensible instrument for the blind persons to enjoy music and to proceed the more professional music education. Producing braille music requires professionals such as braille translators thereby it costs money for an individual to order braille music. Therefore, public libraries involve in producing and distributing braille music. Current status of digital braille music in Korea has been far from the fulfillment with the unmet needs of the blind people for diversity in their music preferences. This paper analyses the present condition of braille music possession in Korea National Library. Based on the analysis, policy proposals has been proposed.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.103-112
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• 2017

Street fighter II is a game that played an innovative role in the genre of fighting games in the 1990s. There are many elements that this game has played, but I would like to describe the character's background music. Is terms of sound, it is an excellent game with theme music suitable for twelve characters and voice that comes out when using each character's technique. Street Fighter II shows different patterns of background music depending on the charcater's fitness. I analyze it in harmonical way and try to study it form the perspective of music psychology.

• Journal of the Ergonomics Society of Korea
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• v.32 no.5
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• pp.421-427
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• 2013

Objective: This paper is to analyze the impact of musical training to the fast ${\alpha}$ wave activation of the EEG. Background: EEG is neurological research method that can observe the brain function in real time. EEG can be used to determine the nervousness and relaxedness of a person who receives stimuli in a structured environment. Therefore, it is possible to interpret the functional state of human brain by the analysis of EEG. Method: The brain activities of two groups of university students in the point of RFA(Relative Fast Alpha) caused by different music are analyzed in this paper. One is the group of music majors and the other is the group of non-majors. Results: Music major and non-major groups show meaningful differences in RFA during exposed to classic and metal music. Conclusion: Learning experience on music affects RFA increment of music majors. Application: The result of this study will be used as basic data to evaluate the learning effects of students who want to study music.

• Journal of the Korea Society of Computer and Information
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• v.21 no.4
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• pp.39-46
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• 2016

While the difficulty of the music can be classified by a variety of standard, conventional methods are classified by the subjective judgment based on the experience of many musicians or conductors. Music score is difficult to evaluate as there is no quantitative criterion to determine the degree of difficulty. In this paper, we propose a new classification method for determining the degree of difficulty of the music. In order to determine the degree of difficulty, we convert the score, which is expressed as a traditional music score, into electronic music sheet. Moreover, we calculate information about the elements needed to play sheet music by distance of notes, tempo, and quantifying the ease of interpretation. Calculating a degree of difficulty of the entire music via the numerical data, we suggest the difficulty evaluation of the score, and show the difficulty of music through experiments.

• Journal of Information Technology Applications and Management
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• v.23 no.1
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• pp.33-43
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• 2016

Along with the spread of digital music and recent growth in the digital music industry, the demands for music recommender are increasing. These days, listeners have increasingly preferred to digital real-time streamlining and downloading to listen to music because it is convenient and affordable for the listeners to do that. We use Bayesian learning through weight of listener's prefered music site such as Melon, Billboard, Bugs Music, Soribada, and Gini. We reflect most popular current songs across all genres and styles for music recommender system using user profile. It is necessary for us to make the task of preprocessing of clustering the preference with weight of listener's preferred music site with popular music charts. We evaluated the proposed system on the data set of music sites to measure its performance. We reported some of the experimental result, which is better performance than the previous system.