• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.956-964
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• 2019

In the age of personal media such as YouTube and Twitch, individual media content creation and consumption have become simpler. A huge amount of media content is created and consumed through platform services. In this regard, interest in copyright of media contents is increasing. In particular, the sound source is an indispensable element in almost all media contents production. In this paper, we propose a method to store the sound source and its signature using blockchain and distributed storage system to verify the copyright of music contents. We Identify the possibility of including the audio signature extraction result of the sound source as blockchain transaction data. Through experiments, we compare the input and output speed when the sound source and its signature are stored in the distributed storage system.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.286-296
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• 2010

The study of the development of DJ robots is to meet the demands of the music services which are changing very rapidly in the digital and network era. Existing studies, as a whole, develop music services on the premise of personalized environment and equipment, but the DJ robot is on the premise of the open space shared by the public. DJ robot gives priority to traditional space and music. Recently as the hospitality and demand for cultural contents of South Korea expand to worldwide, industrial use of the contents based on traditional or our unique characteristics is getting more and more. Meanwhile, the DJ robot is composed of a combination of two modules. One is to detect changes in the external environment and the other is to set the properties of the music by psychology, emotional engineering, etc. DJ robot detect the footprint of the temperature, humidity, illumination, wind, noise and other environmental factors measured, and will ensure the objectivity of the music source by repeated experiments and verification with human sensibility ergonomics based on Hevner Adjective Circle. DJ robot will change the soundscape of the traditional space being more beautiful and make the revival and prosperity of traditional music with the use of traditional music through BGM.

• Review of Korea Contents Association
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• v.13 no.2
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• pp.41-46
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• 2015

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1025-1032
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• 2017

Recently the domestic popular song market has been growing mainly in digital sound sources. As a result of analyzing the top 100 music charts from 2012 to 2016 through digital sound sources and musical scores, the average annual BPM has fallen by 11.26 over five years. Every year, The style of music has diversified every year, and the proportion of Hip-hop has doubled from 8.5% in 2012 to 17.8% in 2015. Dance music and ballads have a high preference rate, but the relationship is inversely proportional. Singer composition was inversely proportional to the ratio of female solo to male group. Especially, the relationship between BPM and the Major/Minor key is that 81.42% for slow tempo songs is Major key and 53.85% for fast tempo songs is minor key. In the case of TV drama OST, the solo singer 's music was preferred, the music style was 80% pop and 20% ballad.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.235-242
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• 2010

Differently from instruments which synthesized sounds and tones in the past, voice synthesis engine for music production has reached to the level of creating music as if actual artists were singing. It uses the samples of human voices naturally connected to the different levels of phoneme within the frequency range. Voice synthesis engine is not simply limited to the music production but it is changing cultural paradigm through the second creations of new music type including character music concerts, media productions, albums, and mobile services. Currently, voice synthesis engine technology makes it possible that users input pitch, lyrics, and musical expression parameters through the score editor and they mix and connect voice samples brought from the database to sing. New music types derived from such a development of computer music has sparked a big impact culturally. Accordingly, this paper attempts to examine the specific case studies and the synthesis technologies for users to understand the voice synthesis engine more easily, and it will contribute to their variety of music production.

• Journal of Internet Technology
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• v.21 no.5
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• pp.1363-1374
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• 2020

Contents services have been provided to people in a variety of ways. Jukebox service is one of the contents streaming which provides an automated music-playing service. User inserts coin and presses a play button, the jukebox automatically selects and plays the record. The Disk Jockey (DJ) in Korean cafeteria (café) received contents desired of customer and played them through the speakers in the store. In this paper, we propose a service platform that reinvented the Korean café DJ in an integrated environment of IoT and cloud computing. The user in a store can request contents (music, video, and message) through the service platform. The contents are provided through the public screen and speaker in the store where the user is located. This allows people in the same location store to enjoy the contents together. The user information and the usage history are collected and managed in the cloud. Therefore, users can receive customized services regardless of stores. We compare our platform to exist services. As a result of the performance evaluation, the proposed platform shows that contents can be efficiently provided to users and adapts IoT-Cloud integrated environments.

• The KIPS Transactions:PartA
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• v.10A no.6
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• pp.737-748
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• 2003

With the popularity of digital music contents, querying and retrieving music contents efficiently from database has become essential. In this paper, we propose a Fast Melody Finder (FMF) that can retrieve melodies fast and efficiently from music database using frequently queried tunes. This scheme is based on the observation that users have a tendency to memorize and query a small number of melody segments, and indexing such segments enables fast retrieval. To handle those tunes, FMF transcribes all the acoustic and common music notational inputs into a specific string such as UDR and LSR. We have implemented a prototype system and showed on its performance through various experiments.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.549-559
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• 2016

Currently the terminology 'rock musical' is used too freely, and thus academic definition and research of its stylistic features are required. This thesis attempts to clarify the historical context of rock music and rock muscal, and to study the musical and dramatic feature of rock musical. This thesis also attempts to catagolize the musical types of the songs used in the contemporary rock musial ; 1) authentic rock music, 2) psudo-rock music transformed from other musical styles, and 3) amalgamation of rock music and other musical styles. All this attempts is aimed to find a possibility of creation of new musical.

• Journal of Digital Contents Society
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• v.8 no.4
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• pp.521-529
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• 2007

In this paper, we introduce a music recommendation system that automatically recommends music according to users' musical tastes. The recommendation system uses a graph-based collaborating filtering in which similarities between musics are saved as a graph, and so it can perform fast recommendation based on the implicit preference information. It also has capability of recommending music according to users' dynamically changing preferences as well as users' static preferences. The recommendation server is implemented as an independent server using Java, and communicates with clients according to a specified protocol. A demo web site has been built by using the server and music download data from actual users, and the accuracy of recommendation has been measured through experiments.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.237-247
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• 2019

This study looks at common features between the two media to explore the deepening relationship within music and images in movies and finds at how they are combined each other and the resulting effects. Beyond the limitations of conventional viewpoints of music as video-dependent media, The is analyzed to focus on the deepening relationship between the two media. In the movie, music and video were combined by sharing the same attributes of 'repeating structure', which increases the transmission power to the film's subject and story, maximizes visual and auditory stimuli, and forms a sense of immersion. That is, video and music combined in equal positions have great influence to each other, thus representing for a positive consideration of the potential for establishing interdependent relationships.