• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.3
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• pp.31-39
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• 2016

As the computer technology is developed, score-writers that can edit music have more improved functions. A user not only can insert notes, chords, and musical symbols conveniently, but also can listen to music displayed in the score. Existing commercial score-writers make scores look good and play notes through VSTi(Virtual Studio Technology instrument). However chord accompaniment function is so vulnerable that it is hard to know whether or not displayed chords are suitable for music. If a score-writer has a proper function that plays chord sound good to hear, it will be a good reference to band music sheet writers. In this paper, to improve chord playback function in existing score-writers, we propose an algorithm that selects suitable chord tones for chord playback and implemented a program. If we apply this algorithm, the chord play function of a score-writer will be strengthened and resultantly a music sheet writer who makes a band music can make scores more conveniently.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.807-824
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• 2016

In this paper, a method of mood classification based on user brainwaves is proposed for real-time application in commercial services. Unlike conventional mood analyzing systems, the proposed method focuses on classifying real-time user moods by analyzing the user's brainwaves. Applying brainwave-related research in commercial services requires two elements - robust performance and comfortable fit of. This paper proposes a filter based on Regularized Common Spatial Patterns (RCSP) and presents its use in the implementation of mood classification for a music service via a wireless consumer electroencephalography (EEG) device that has only 14 pins. Despite the use of fewer pins, the proposed system demonstrates approximately 10% point higher accuracy in mood classification, using the same dataset, compared to one of the best EEG-based mood-classification systems using a skullcap with 32 pins (EU FP7 PetaMedia project). This paper confirms the commercial viability of brainwave-based mood-classification technology. To analyze the improvements of the system, the changes of feature variations after applying RCSP filters and performance variations between users are also investigated. Furthermore, as a prototype service, this paper introduces a mood-based music list management system called MyMusicShuffler based on the proposed mood-classification method.

• Journal of the HCI Society of Korea
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• v.11 no.3
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• pp.13-22
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• 2016

Vocal and instrument apprenticeship in applied music has been accepted without significant changes since the introduction of applied music education to South Korea. Few discussions or suggestions about other types of teaching than 'one-to-one lessons' or 'education of apprentices by assigned specialists' have been made. Since the introduction of applied music education to South Korea late in the 1980s, the CAI(Computer Aided Instruction) courseware development for applied music education has not actively been under way. The area of applied music has also made rapid progress in terms of music producing or music videos using computers. Actually, the improved computer program is not positively applied to applied music education. This study aimed to present learning methods using the improved functions of music production softwares to improve the traditional apprenticeship system in the area of vocal training in applied music. In particular, it used the technique of auto tune-pitch shift developed for interval correction in sound sources. By giving real-time feedbacks concerning intervals or monitors visually after recording, it intended to present a learning method to induce improvement in accuracy of intervals in vocal training. This study is expected to present a method that allows vocal trainers to overcome temporal and spatial limitations in applied music and make their vocal training more efficient.

• 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 Institute of Electronics Engineers of Korea SP
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• v.43 no.1 s.307
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• pp.85-90
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• 2006

In this paper, we propose the content-based music information retrieval system with improved retrieval speed and stable performance while maintaining resonable retrieval accuracy In order to solve the in-stable system problem multi-feature clustering (MFC) is used to setup robust music DB. In addition, the music retrieval speed was improved by using the Superclass concept. Effectiveness of the system with SuperClass and without SuperClass is compared in terms of retrieval speed, accuracy and retrieval precision. It is demonstrated that the use of WC and Superclass substantially improves music retrieval speed up to $20\%\~40\%$ while maintaining almost equal retrieval accuracy.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.309-316
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• 2016

While consumption patterns have changed online music, online music platform began to emerge. While people prefer popular music recommendation, they use the online music platform chart or use the SNS Platform to share information. Online platform Ranking is different because of different properties held by members. Meanwhile, we need music charts characteristics of SNS users. So there were a lot of attempts to chart a comprehensive variety of platforms. And continue to emerge theses linking the musical characteristics and SNS. In this paper, We have developed a new chart using the behavior of Twitter Users who listen to music, and studies comparing the results with existing chart.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.43-50
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• 2020

In this paper, we propose to study the factors affecting the user's intention to use smart music platform, and on the basis of studying the impact of service quality on the user's intention to use, such as perceived usability, perceived ease, perceived entertainment and perceived cost, respectively. Based on this, the impact factors model on the usage intention of smart music platform users was presented, and 398 questionnaires were collected through a survey of university students majoring in Chinese music, and the collected data were obtained by conducting frequency analysis, reliability analysis, exploratory factor analysis, correlation analysis, and structural equation model analysis using spss20.0 and amos20.0. The results show that: Quality of service has a positive effect on perceived usefulness, perceived ease of use, perceived entertainment and perceived cost. A study found that perceived usefulness, perceived ease of use, and perceived entertainment have a positive effect on users' intention of use and perceived cost has a negative effect on their intention of use. Through this conclusion, the entrepreneur presented an important meaning in promoting sustainable development of smart music platforms by improving the operation and profit model of smart music platforms.

• Journal of the Korea Society of Computer and Information
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• v.24 no.7
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• pp.53-60
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• 2019

With the gradual in-depth use of social elements, music social networking has attracted more and more attention and discussion in the industry. Therefore, starting from the user experience theory and purchase intention theory, this paper explores the mechanism of user social experience and purchase intention in mobile music applications, and adds the mediating role of brand attachment on the basis of literature research. Based on previous studies on user experience measurement of social network and evaluation report of mobile music applications in the industry, and combined with in-depth interviews of users, whether the user experience of mobile music applications, which pays more and more attention to social elements, has an impact on purchase intention or not? What specific social experience can help form purchase intention? Are mediating variables at work? In practice, a total of 398 formal questionnaires were collected to obtain first-hand data. Later, reliability analysis, factor analysis and structural equation model test were carried out successively to verify the hypothesis. According to the results of empirical research, firstly, content experience, atmosphere experience and interactive experience in users' social experience of mobile music applications have a significant impact on brand attachment, secondly, atmosphere experience has a significant impact on purchase intention, and thirdly, brand attachment has a significant impact on users' purchase intention. Fourthly, brand attachment plays an intermediary role in the relationship between users' atmosphere experience and content experience and purchase intention. Based on the above research conclusions, the author puts forward corresponding marketing strategy Suggestions, which have certain guiding significance for mobile music applications to improve users' purchase intention, and have certain reference significance for the development of mobile music applications and the expansion of business model.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.287-294
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• 2022

The purpose of this study is to define the concept of value-added services on online music platforms, put forward a model of users' willingness to use value-added services on online music platforms, and explore the way its influencing factors affect users' willingness to use. This study is based on the stimulus-response model, combined with the characteristics of online music service platforms, using information value, social value, and entertainment value as independent variables, using flow experience as a mediating variable, and self-awareness as a moderator variable, and then researches on the use of users. influence of will. Empirical analysis was carried out in this study using SPSS and AMOS statistical analysis tools. It is verified that the value-added services of online music platforms have a positive and positive impact on consumers' flow experience and usage intention. This research can fill in the theoretical defects of online music platform service, which has positive and important significance for music platform operators to improve their service capabilities and improve their income.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1296-1306
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• 2014

Recently there are many attempts that IT convergence has been studied together with very different sector like art and music. If it is possible to make a formal model with combination of engineering with strong creative sector like music, there will be some advantages to analyze its contents easily. In this study, the model has been provided to utilize music analysis and compose algorithm through the formal model research of Sonata. To this end, this study has been provided a formal model of Sonata with the Petri net model being widely used and verify the effectiveness of the proposed model on the case of Piano Sonata K. 332.