• Journal of Advanced Navigation Technology
• /
• v.10 no.3
• /
• pp.250-255
• /
• 2006

In digital multimedia society, we usually use the digital sound music ( Mp3, wav, etc.) system instead of analog music. In the middle of generating or recording and transmitting, if we embed the digital code which is useful to music information, we can easily select as well as classify the music title by using Mp3 player that embedded sound source classification system. In this paper, sound source classification system which could be classify and search a music informations by way of user friendly scheme is implemented. We performed some experiments to testify the validity of proposed scheme by using implemented system.

• Journal of Arbitration Studies
• /
• v.27 no.2
• /
• pp.59-81
• /
• 2017

The purpose of this study is to find a solution to disputes in the process of producing digital music sources. At present, the center of the world music market including the domestic market has been completely transformed from the tangible musical record market to the intangible sound source market. Due to these environmental changes, the music production process becomes industrialized and specialized, causing conflicts of interest among the individuals in the process. First of all, this study examined changes in the music market which is the background of the dispute, identified the problems of the process and suggested solutions while summarizing the meaning and role of each process of producing a sound source that may arise during the sound production process. This study covers plagiarism between producers, copyright infringement of the creator against assistant creator caused by the industrialization and division of the production environment, issues related to the rights of sound engineers whose role and importance become bigger as acoustic technology develops and music genres become more diverse, and vertical hierarchy due to the formation of oligopoly by several distributors with huge capital. As a result of the study, it was concluded that Alternative Dispute Resolution (ADR) system is suitable for solving these problems. Specific methods of using ADR include activation of the dispute settlement system of the Korea Copyright Commission, active use of the arbitration clause specified in the standard contract, and recalculation of labor costs and earnings from copyright through mutual negotiations. This paper can be differentiated from previous studies in that it studied overall problems that might arise in the process of digital music source production and suggested ADR utilization as the solution.

• Journal of Broadcast Engineering
• /
• v.24 no.6
• /
• pp.1024-1034
• /
• 2019

Preference for music is determined by a variety of factors, and identifying characteristics that reflect specific factors is important for music recommendations. In this paper, we propose a method to extract the singing voice related music features reflecting various musical characteristics by using a model learned for singer identification. The model can be trained using a music source containing a background accompaniment, but it may provide degraded singer identification performance. In order to mitigate this problem, this study performs a preliminary work to separate the background accompaniment, and creates a data set composed of separated vocals by using the proven model structure that appeared in SiSEC, Signal Separation and Evaluation Campaign. Finally, we use the separated vocals to discover the singing voice related music features that reflect the singer's voice. We compare the effects of source separation against existing methods that use music source without source separation.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.8
• /
• pp.43-52
• /
• 2013

The purpose of this paper is researching musical elements to analyze plagiarism between two sources. We first search digital music elements to analyze music source and examine how to use these in plagiarism analysis using compiler techniques. In addition we are used open source Java API JFugue to process complex MIDI music data simply. Therefore we designed music plagiarism analysis system by using MusicString which is supported in JFugue and construct AST after investigate MusicString's syntax processing elements to manipulate music plagiarism analysis efficiently. So far music plagiarism analysis is evaluated emotionally and subjectively. But this paper suggests first step to build plagiarism analysis systemically. If this research is well utilized, this is very meaningful to standardize systemically which music is plagiarized or not.

• Journal of KSNVE
• /
• v.6 no.6
• /
• pp.835-842
• /
• 1996

To identify the locations and strengths of acoustic sources, one may use a microphone line array. Apparent advantage of the source identification method utilizing a line array is that it requires less measurement points than intensity method and holography. This method is based on the information of magnitude and phase difference between pressure signals at each microphone. Since those differences are dependent on the source model, we have to assume them such as plane, monopole, etc. In this paper the conventional source identification methods such as beamforming method and MUSIC method are briefly reviewed by modeling a source as plane and spherical wave, then a modified method is introduced. This can be applied to sound field which may by either coherent or incoherent. Typical simulations and experiment are performed to confirm this identification method.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.5
• /
• pp.81-88
• /
• 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 Biomedical Engineering Research
• /
• v.29 no.4
• /
• pp.329-336
• /
• 2008

Recently, causality analysis of source time series extracted from EEG or MEG signals is becoming of great importance in human brain mapping studies and noninvasive diagnosis of various brain diseases. Two approaches have been widely used for the analyses: one is independent component analysis (ICA), and the other is multiple signal classification (MUSIC). To the best of our knowledge, however, any comparison studies to reveal the difference of the two approaches have not been reported. In the present study, we compared the performance of the two different techniques, ICA and MUSIC, especially focusing on how accurately they can estimate and separate various brain electrical signals such as linear, nonlinear, and chaotic signals without a priori knowledge. Results of the realistic simulation studies, adopting directed transfer function (DTF) and Granger causality (GC) as measures of the accurate extraction of source time series, demonstrated that the MUSIC-based approach is more reliable than the ICA-based approach.

• Journal of Digital Contents Society
• /
• v.18 no.3
• /
• pp.509-516
• /
• 2017

The purpose of this study is to identify the use of sound sources in music education for children, discuss how to use the digital sound sources, and explain the advantages and the disadvantages. The study participants collected data through focal group interviews with 8 preschool teachers interested in music education for children. The results of the study are as follows. Actual use of sound sources were divided into two categories: "Digital sound source is frequently used," "Need to play directly according to circumstances." The method of digital sound source use was divided into "Download as paid and provided as a cassette," "Playing sound sources directly from laptops and smartphones." Benefits and reasons for digital sound source use was divided into "Easy to use," and "Necessary when it is difficult to play the actual piece." Demerits of digital sound source use was divided into "Lacking variety" "Inconvenience of use." This study is believed to be meaningful in providing the basis for the provision of sound sources in music education for children and the basic sources of research on the use of sound sources.

• Journal of Broadcast Engineering
• /
• v.24 no.7
• /
• pp.1228-1236
• /
• 2019

Recently, media platforms such as YouTube and Twitch provide services that can generate personal revenue by utilizing media content produced by individuals. In this regard, interest in the copyright of media content is increasing. In particular, in the case of an audio source, competition for securing audio source copyright is fierce because it is an essential element for almost all media content production. In this paper, we propose a method to store the audio source and its signature using a blockchain and distributed storage system to verify the copyright of music content. To identify the possibility of extracting the audio signature of the audio source and to include it as blockchain transaction data, we implement the audio source and its signature file upload system based on the proposed scheme. In addition, we show the effectiveness of the proposed method through experiments on uploading and retrieving audio files and identify future improvements.

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