• Journal of Digital Convergence
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• v.13 no.1
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• pp.429-438
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• 2015

The copyrights of music in Korea have been placed under the supervision of the associations which the government approved as a trusteeship. Since the industry of music in Korea has been changed from phonographic industry to on-line music service, it is required increasingly that the rights and interests of music should been protected. Korea government has been announced the amendment for levy of music royalties through on-line service according to the changes in the music industry and industries' demand. In this paper, the corporate structures in music industry has been investigated from the point of owner of copyright, recently at the heart of the debate, flat rate system and usage-based pricing in on-line music market has been compared. Consequently, the reasonable prices of music service through on-line market are not earmarked in reality for both consumers and copyright proprietors. Therefore, it is still necessary to improve the institutional.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.575-583
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• 2020

This research approach is different from the existing definition of Tropical House. It was derived from an electronic music genre (deep house, chill out, dance hall). However, this study explains that Tropical House contains elements of other art forms as well as electronic music. These are the elements of Ireland's traditional music (Celtic music). This study explains why the fusion of Tropical House and Celtic music was easy. And it shows that elements of Celtic music are included in Tropical House through eight popular songs. It can be confirmed that the melody, harmony, rhythm, singing method, instrumentation, and structure of Tropical House are intertwined with the elements of Celtic music. The key point of this research is to suggest that Celtic musical elements are found in the Tropical House genre. In addition, creators need to pay attention to various types of music, including traditional music from around the world. It is suggested that creators need to think about how to combine today's music with various other genres to create original music.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.77-90
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• 2014

In the past composers used to make music with classical instruments such as piano, violin, guitar, flute, drums, and other well-known tools. With the advent of digital technology many software programs were developed which allow musicians to compose tunes using personal computers. Many file formats were introduced such as NIFF, SMDL and MIDI but none besides MIDI has been successful. Recently MusicXML has emerged as a de-facto standard for the computer representation of music. This paper presents a brief description of the structure of the MusicXML format and describes the development of a music score editor based on MusicXML. We implemented a MusicXML-based score editing software using C# language and a feasibility test showed the efficiency of our proposed method.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.99-110
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• 2019

This study reconsidered the characteristics of the narrative through the analysis of the meaning and function of the film music in the feature film "The Truman Show". Especially, this study was focused on the music of Philip Glass among the film music of this film, and it started from the analysis of his musical meaning and function written in the pre-existing film according to the use of the editing music. As the film music needs to be analyzed from the viewpoint of the storytelling of the narrative of the film, the music is analyzed through 12 functions of the background music. Throughout the film, Philip Glass's music has been very important in the scenes of amplification, climax, and resolution of conflict. Especially, in the important context of the character and narrative structure of the film, such as the amplification of the tension and the resolution of the tension in the conflict of Truman, the main character of the film, Philip Glass's music is important through the contrast of the tempo of music and the contrast of emotional character. It can also be understood that this contrasts with the character and storytelling of the film in terms of film musical contrasts.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.263-274
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• 2010

To provide context-aware music recommendation service, first of all, we need to catch music mood that a user prefers depending on his situation or context. Among various music characteristics, music mood has a close relation with people‘s emotion. Based on this relationship, some researchers have studied on music mood detection, where they manually select a representative segment of music and classify its mood. Although such approaches show good performance on music mood classification, it's difficult to apply them to new music due to the manual intervention. Moreover, it is more difficult to detect music mood because the mood usually varies with time. To cope with these problems, this paper presents an automatic method to classify the music mood. First, a whole music is segmented into several groups that have similar characteristics by structural information. Then, the mood of each segments is detected, where each individual's preference on mood is modelled by regression based on Thayer's two-dimensional mood model. Experimental results show that the proposed method achieves 80% or higher accuracy.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.157-167
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• 2015

This research studied how idol music popularity influences on equilibrium of ecosystem in Korean popular music market. Because most of media & press reported that idol music caused unbalance of whole market so this research issued it. Research method is borrowed production of cultural perspective of Peterson and subject of analysis is selected idol music from Melon weekly music chart(2000-2014), which is No. 1 digital music distributor. The result showed idol music did not bring unbalance of ecosystem structure in Korean polular music market and found it contributed diversity of music genre in music market by introducing various musical style all the more. This kind of untested information should not cause idol music production leading new Korean Wave to shrink. Government related organization has to do policy making based on verified fact in future and it should be handled as important matter for sustainable and expansive reproduction of Korean wave.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.309-314
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• 2023

This study examines the development and limitations of current artificial intelligence (AI) music composition programs. AI music composition programs have progressed significantly owing to deep learning technology. However, they possess limitations pertaining to the creative aspects of music. In this study, we collect, compare, and analyze information on existing AI-based music composition programs and explore their technical orientation, musical concept, and drawbacks to delineate future directions for AI music composition programs. Furthermore, this study emphasizes the importance of developing AI music composition programs that create "personalized" music, aligning with the era of personalization. Ultimately, for AI-based composition programs, it is critical to extensively research how music, as an output, can touch the listeners and implement appropriate changes. By doing so, AI-based music composition programs are expected to form a new structure in and advance the music industry.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.217-223
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• 2023

In this paper, we propose a new model for the conditional generation of music, considering key and rhythm, fundamental elements of music. MIDI sheet music is converted into a WAV format, which is then transformed into a Mel Spectrogram using the Short-Time Fourier Transform (STFT). Using this information, key and rhythm details are classified by passing through two Convolutional Neural Networks (CNNs), and this information is again fed into the Music Transformer. The key and rhythm details are combined by differentially multiplying the weights and the embedding vectors of the MIDI events. Several experiments are conducted, including a process for determining the optimal weights. This research represents a new effort to integrate essential elements into music generation and explains the detailed structure and operating principles of the model, verifying its effects and potentials through experiments. In this study, the accuracy for rhythm classification reached 94.7%, the accuracy for key classification reached 92.1%, and the Negative Likelihood based on the weights of the embedding vector resulted in 3.01.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.91-99
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• 2010

Recently, recognizing user resource for personalized service has been needed in digital content service fields. Especially, to analyze user taste, recommend music and service music related information need recognition of user music file in case of online music service. Music related information service is offered through recognizing user music based on tag information. Recognition error has grown by weak points like changing and removing of tag information. Techniques of content based user music recognition with music signal itself are researched for solving upper problems. In this paper, we propose user music recognition on the internet by extracted feature from music signal. Features are extracted after suitable preprocessing for structure of content based user music recognition. Recognizing on music server consist of feature form are progressed with extracted feature. Through this, user music can be recognized independently of tag data. 600 music was collected and converted to each 5 music qualities for proving of proposed recognition. Converted 3000 experiment music on this method is used for recognition experiment on music server including 300,000 music. Average of recognition ratio was 85%. Weak points of tag based music recognition were overcome through proposed content based music recognition. Recognition performance of proposed method show a possibility that can be adapt to online music service in practice.

• Journal of KIISE:Software and Applications
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• v.35 no.11
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• pp.692-700
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• 2008

In some previous works on musical genre classification, human experts specify segments of a song for extracting musical features. Although this approach might contribute to performance enhancement, it requires manual intervention and thus can not be easily applied to new incoming songs. To extract musical features without the manual intervention, most of recent researches on music genre classification extract features from a pre-determined part of a song (for example, 30 seconds after initial 30 seconds), which may cause loss of accuracy. In this paper, in order to alleviate the accuracy problem, we propose a new method, which extracts features from representative segments (or main theme part) identified by structure analysis of music piece. The proposed method detects segments with repeated melody in a song and selects representative ones among them by considering their positions and energies. Experimental results show that the proposed method significantly improve the accuracy compared to the approach using a pre-determined part.