• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.73-79
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• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

• Journal of Korea Game Society
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• v.12 no.1
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• pp.103-111
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• 2012

Games in 1970s have used the savings of analog wavelength as in music and the like on hardwares of small cassette, gramophone, and the like. Due to these configuration elements, durability has to be declined so much. In the event of using the music on the video game, more affordable method is to use the computer chip to convert the analog sound into the computer code to convert into the electric wavelength to send to the speaker. The sound effect of the game is generated in this method. The technical limit has been gradually overcome to grant more freedom to the composers and the sound track pre-recorded on the optic disc and the like has emerged. The game developers of today have made several attempts on the technology to produce the game music. This study has contemplated the process of advancement in the change of game music production with the influence on technology and business.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.109-118
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• 2005

In this paper, we present a music retrieval system that compares the geometric structure of a melody specified by a user with those in a music database. The system finds matches between a query melody and melodies in the database by analyzing both structural and contextual features. The retrieval method is based on the geometric hashing algorithm which consists of two steps; the preprocessing step and the recognition step. During the preprocessing step, we divide a melody into several fragments and analyze the pitch and duration of each note of the fragments to find a structural feature. To find a contextual feature, we find a main chord for each fragment. During the recognition step, we divide the query melody specified by a user into several fragments and search through all fragments in the database that are structurally and contextually similar to the melody. A vote is cast for each of the fragments and the music whose total votes are the maximum is the music that contains a matching melody against the query melody. Using our approach, we can find similar melodies in a music database quickly. We can also apply the method to detect plagiarism in music.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.81-88
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• 2010

In this paper, we proposed an automatic music/non-music signal discrimination system from broadcasting audio signal as a preliminary study of building a sound source monitoring system in real broadcasting environment. By reflecting human speech articulation characteristics, we used three simple time-domain features such as energy standard deviation, log energy standard deviation and log energy mean. Based on the experimental threshold values of each feature, we developed a rule-based algorithm to classify music portion of the input audio signal. For the verification of the proposed algorithm, actual FM broadcasting signal was recorded for 24 hours and used as source input audio signal. From the experimental results, the proposed system can effectively recognize music section with the accuracy of 96% and non-music section with that of 87%, where the performance is good enough to be used as a pre-process module for the a sound source monitoring system.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.79-88
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• 2011

In this paper, We propose real-time sound editing and playback systems which is based on Augmented Reality. The proposed system are composed with music maker which is based on AR maker and music board. By using music marker's contents, the proposed system selects the kinds of musical instruments and pre-defined midi track and by calculating the relative location of music marker on 2-dimensional plane, we set the spatial relative parameter in midi track. For performance evaluation, we check the jitter value of in various resolutions by using CAM which supports $1600{\pm}1200$ as the maximum resolution. As a result, when we set the configuration value of CAM as $860{\pm}600$ pixels and process two frames per minute, the success ratio of recognizing music markers and jitter values are accegnable. It can be utilized in the fields of alternative cmacine which is based on music and also be utilized in the educational aspects because child or elderly who don't know enough musical theory can easily handle it.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1059-1062
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• 2009

As the electronic processing of music gradually is developed, there has been growing interest in automatical input of music. As a result, various researches which input music in the computer has been studied. However, previous studies have drawbacks that only the experts can do it. In other words, if beginners would like to use traditional production program of music scores than prior knowledge is required. To resolve this, we propose system painting music scores automatically using a bandwidth of soundsource, after extracting the voice sounds created by amateurs. The System provides amateurs with convenience so that they can compose. As well as, the System provides the ability to play music that produced by the computer. By using the system, amateurs can compose using voice and simple system handling. And, they can make a music that plays desired instruments.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.217-225
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• 2023

The willingness of online music users to pay is the key to the protection of music copyright and the sustainable development of the industry. This paper aims to study the influencing factors of online music users' willingness to pay based on exploratory analysis. Based on the theory of customer perceived value, the unified theory of technology acceptance and use, and the theory of fan enthusiasm, the research model is constructed. Validate the obtained 583 valid data. Through analysis, I got that perceived value, interpersonal influence, fan enthusiasm, and personal payment awareness directly affect online music users' willingness to pay; practical value and hedonic value have a positive impact on perceived value, and the impact of economic cost and compilation cost has not reached a significant level; Online word-of-mouth negatively moderates the impact of perceived value on users' willingness to pay for music. Music platforms can formulate operating policies based on this.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.209-219
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• 2024

In this paper, we propose a study to investigate the significant impact of digital technology on the development of the cultural industry and tourism. By collecting, selecting, and analyzing data on digital music products from 281 cities in China from 2005 to 2022, we confirm that well-known digital music products play a crucial role in promoting domestic tourism economic growth. However, their impact on the international tourism economy is not significant. Furthermore, these well-known digital music products can not only promote the development of the regional tourism economy but also influence the tourism economy of neighboring cities. The promotional effect of well-known digital music products is particularly important in fourth- and fifth-tier cities with rich cultural diversity and abundant tourism resources. Overall, well-known digital music products have a positive role in stimulating market vitality and promoting regional tourism economic development. These findings provide an important foundation for the integrated development of culture and tourism in the digital age and offer valuable insights for upgrading regional industrial structures and fostering regional harmonious development.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.148-155
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• 2008

In this paper, we constructed the noise robust content-based music retrieval system in mobile environment. The performance of the proposed system was verified with ZCPA feature which is blown to have noise robust characteristic in speech recognition application. In addition, new indexing and fast retrieval method are proposed to improve retrieval speed about 99% compare to exhaustive retrieval for large music DB. From the computer simulation results in noise environment of 15dB - 0dB SNR, we confirm the superior performance of the proposed system about 5% - 30% compared to MFCC and FBE(filter bank energy) feature.

• Smart Media Journal
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• v.10 no.4
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• pp.80-90
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• 2021

Using optical music recognition technology based on deep learning, we propose to apply the results derived to VR games. To detect the music objects in the music sheet, the deep learning model used YOLO v5, and Hough transform was employed to detect undetected objects, modifying the size of the staff. It analyzes and uses BPM, maximum number of combos, and musical notes in VR games using output result files, and prevents the backlog of notes through Object Pooling technology for resource management. In this paper, VR games can be produced with music elements derived from optical music recognition technology to expand the utilization of optical music recognition along with providing VR contents.