• Journal of Digital Contents Society
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• v.11 no.1
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• pp.9-16
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• 2010

Recently, needs and interests that people want to create their digital contents in ubiquitous environment are growing fast. Among the digital contents, people are also interested in the music contents. However, it is hard to find a system which manages and shares music contents easily. The paper proposes a system that provides a composition function for music, a mixing function for music, and a function for ear training. The contributions of the paper are as follows. First, the paper provides a music management system which enables music compositions, listening function of music, searching functionalities. Second, the paper introduces a function of mixing drum sound for managing rhythms. Third, the paper provides game contents which improve senses of music. The proposed system is expected that enables users composite music in ubiquitous environment, provides rich functions for compositions, and improves senses of music.

• Phonetics and Speech Sciences
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• v.10 no.3
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• pp.19-29
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• 2018

We propose to use independent component analysis (ICA) and deep neural network (DNN) to detect music sections in broadcast drama contents. Drama contents mainly comprise silence, noise, speech, music, and mixed (speech+music) sections. The silence section is detected by signal activity detection. To detect the music section, we train noise, speech, music, and mixed models with DNN. In computer experiments, we used the MUSAN corpus for training the acoustic model, and conducted an experiment using 3 hours' worth of Korean drama contents. As the mixed section includes music signals, it was regarded as a music section. The segmentation error rate (SER) of music section detection was observed to be 19.0%. In addition, when stereo mixed signals were separated into music signals using ICA, the SER was reduced to 11.8%.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.924-934
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• 2014

In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1105-1114
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• 2018

The growth rate of the domestic digital music contents market has been remarkable recently. Accordingly, the necessity of prediction for chart success of digital music contents has grown. This paper proposes prediction indexes for chart success of digital music contents through analysis of correlation between social data such as Internet news, SNS and entry rankings in Melon's weekly music charts. We collected a total of 10 social data items for each male and female artist, and executed cluster analysis. Through this, we found meaningful prediction indexes for chart success of digital music contents for each male and female artist.

• Journal of IKEEE
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• v.14 no.4
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• pp.305-311
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• 2010

Most recent web search engines perform effective keyword-based multimedia contents retrieval by investigating keywords associated with multimedia contents on the Web and comparing them with query keywords. On the other hand, most music and compilation albums provide professional artwork as cover art that will be displayed when the music is played. If the cover art is not available, then the music player just displays some dummy or random images, but this has been a source of dissatisfaction. In this paper, in order to automatically create cover art that is matched with music contents, we propose a music album cover art creation scheme based on music contents analysis and result synthesis. We first (i) analyze music contents and their lyrics and extract representative keywords, (ii) expand the keywords using WordNet and generate various queries, (iii) retrieve related images from the Web using those queries, and finally (iv) synthesize them according to the user preference for album cover art. To show the effectiveness of our scheme, we developed a prototype system and reported some results.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.656-663
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• 2016

The study focused on the printed sheet music delivering the classical music contents in the view of the media. Media scholar Marshall Mcluhan declared that the media is not just simple tool of delivery but is the main subject affecting the human perception and the content itself. The music media, sheet music invented by the development of the printing technique allowed the massive production and it generalized the classical music contents. However, the editing, the mandatory process for sheet music, created the editors who are standardizing and visualizing the music contents and until today, the sheet music delivers the editor's interpretation rather than the composer's. To prove this notion, the study will compare the manuscript and sheet music of Unaccompanied Violin Sonata no. 3 'Fugue' by J. S Bach and will discuss about the compatibility of the sheet music as the music media now.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.65-74
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• 2020

The objective of this study is to analyze educational web-sites and digital contents for elementary music class according to the 2015 revised music curriculum. First, the current status of educational web-sites that are most actively used in music class were reviewed. And the characteristics of the digital contents included in the web-sites for music education were analyzed. the primary analysis was about the service of the web-sites, and the secondary analysis was about the type of digital contents and the contents of music education. The most actively used web-sites in music classes were Edunet T-Clear, T-Sherpa, i-scream, Indischool, which differed slightly from the web-site's services and the type of digital content and contents. Specifically, the main functions for supporting music classes, the reflection of the curriculum contents, the systematicity of the materials, the objectivity and the on-site nature, and the connection with other subjects appeared differently. In order to effectively utilize digital contents in elementary music class, first, expertise of teachers for timely use of web-sitesand digital contents is required. Second, the development and utilization of various digital contents for the nature of music education is required.

• International Journal of Contents
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• v.8 no.2
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• pp.1-6
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• 2012

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environments. We found that dynamic noise reduction (DNR) is the best pre-processing method for a music retrieval system in noisy environments.

• Journal of Digital Contents Society
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• v.7 no.1
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• pp.1-8
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• 2006

The development of mass media along with technology development is accelerating the development of diverse contents. Among others, the role of music contents is now extended to be applicable to the overall cultural contents thus, the market is growing at a rapid speed. As the music market transforms from the record market to the digital music source market, the creation, distribution, and marketing techniques of digital sound contents become different. Likewise, the music industry has been dynamically changed and came to even demand a paradigm shift in the music industry. This study is meaningful in that it aimed to contemplate additional on-going issues for developing the music industry, such as national policy and support, amendment of related laws, and public awareness, and to suggest an aim to head for.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.323-330
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• 2004

As mobile market grows more and more fast, the mobile contents market, especially music contents for mobile phones have recorded remarkable growth. In spite of this rapid growth, mobile web users experience high levels of frustration to search the desired music. New musics are very profitable to the content providers, but the existing collaborative filtering (CF) system can't recommend them. To solve these problems, we propose an extended CF system to reflect the user's real preference by representing the characteristics of users and musics in the feature space. We represent the musics using the music contents based acoustic features in multi-dimensional feature space, and then select a neighborhood with the distance based function. Furthermore, this paper suggests a recommendation for procedure for new music by matching new music with other users' preference. The suggested procedure is explained step by step with an illustration example.