• Journal of the Korea Society of Computer and Information
• /
• v.21 no.4
• /
• pp.39-46
• /
• 2016

While the difficulty of the music can be classified by a variety of standard, conventional methods are classified by the subjective judgment based on the experience of many musicians or conductors. Music score is difficult to evaluate as there is no quantitative criterion to determine the degree of difficulty. In this paper, we propose a new classification method for determining the degree of difficulty of the music. In order to determine the degree of difficulty, we convert the score, which is expressed as a traditional music score, into electronic music sheet. Moreover, we calculate information about the elements needed to play sheet music by distance of notes, tempo, and quantifying the ease of interpretation. Calculating a degree of difficulty of the entire music via the numerical data, we suggest the difficulty evaluation of the score, and show the difficulty of music through experiments.

• Journal of Korea Multimedia Society
• /
• v.10 no.7
• /
• pp.817-826
• /
• 2007

The existing a music genre classification research used signal feature of the part which gets 20 seconds interval of the random or the $40%{\sim}45%$ after in the music. This paper propose it to increase the accuracy of existing research to classify music genre using climax part in the music. Generally the music is divided to three parts; introduction, progress and climax. And the climax is the part which the music emphasizes and expresses the feature of the music best. So, we can get efficient result if the climax is used, when the music classify. We can get the climax in the music finding the tempo and node which uses FFT and the maximum waveform from each node. In this paper, we did a genre classification experiment which uses existing research method and proposing method. The existing method expressed 47% accuracy. And proposing method expressed 56% accuracy which is improved than existing method.

• The Journal of the Korea Contents Association
• /
• v.17 no.3
• /
• pp.421-430
• /
• 2017

In this paper, research results on the change of music emotion are described. Our gaol was to provide a method of changing music emotion by a human user. Then we tried to find a way of transforming the contents of the original music into the music whose emotion is similar with the changed emotion. For the purpose, a method of changing the emotion of playing music on two-dimensional plan was describe. Then the original music should be transformed into the music which emotion would be equal to the changed emotion. As the first step a method of deciding which music factors and how much should be changed was presented. Finally the experimental method of editing by sound editor for changing the emotion was described. There are so many research results on the recognition of music emotion. But the try of changing the music emotion is very rare. So this paper would open another way of doing research on music emotion field.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.19 no.2
• /
• pp.345-353
• /
• 1994

This paper proposes a high resolution direction finding method, which is so called the 'averaged MUSIC'. This method uses a new sample array covariance matrix that consists of diagonal components obtained by taking averages of the diagonal component values of the sample covariance matrix for the MUSIC. This paper also shows that the proposed method performs higher resolced direction-of-arrival estimation than the MUSIC in such cases as low signal-to-noise ratio, closed signal sources, and limited number of sensors, based on the statistical analysis.

• Journal of Korea Game Society
• /
• v.1 no.1
• /
• pp.88-93
• /
• 2001

It is getting easier to make copy of Digital Media. And, illegal copy of digital media causes an infringement of copyright. As a result, it is getting hard to find good game background music. In this study, Auto music generation method by DNA is proposed. Through this method, the game background music can be provided very easily. Since thousands forms of DNA have been found already, we can have thousands of game background music through this method.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.2
• /
• pp.45-52
• /
• 2021

In this paper, we propose a method of generating theme, background amd signal music usage monitoring information based on a blockchain, in which the music usage informations are recorded by the monitoring tool using feature-based filtering of monitoring organizations. Theme, background and signal music are music inserted into the broadcasting contents of broadcaster. Since they are recognized as created contents just like normal music, there are lyricists and composers who have the right for those music and all copyright holders of them have to receive the corresponding copyright fees, once the music was used in the broadcast. However, there are problems with inaccurate monitoring results for music usage, due to the omission of usage details and non-transparent settlement method. In order to solve these problems, If the information generation method proposed in this paper, accurate music usage history can be created, the details are stored in the blockchain without changes or omissions, and transparent settlement and distribution are possible by smart contract, avoiding the current non-transparent settlement method.

• Proceedings of the Acoustical Society of Korea Conference
• /
• 1993.06a
• /
• pp.206-209
• /
• 1993

The main purpose of this paper is to verify the effectiveness of a high resolution direction finding method, so called the‘averaged MUSIC’. This method uses a new sample array covariance matrix that consists of diagonal components obtained by taking averages of the diagonal component values of the sample covariance matrix for the MUSIC. The paper shows that the proposed method performs higher resolved direction-of-arrival estimation and better resolution probability than the MUSIC in such cases as low signal-to-noise ratio, when the number of sensors used is finite, based on the statistical analysis.

• Journal of Korean Medical classics
• /
• v.22 no.2
• /
• pp.285-292
• /
• 2009

The purpose of this study is to introduce heat-clearing music therapy[淸熱音樂療法] as one of the 17 kinds of oriental medicine music therapy. The heat-clearing music therapy[淸熱音樂療法] can be applied to certain types of syndromes. The representative syndromes are flaring-up of the heart Fire[心火], rising of the liver Yang[肝陽], and fidgetiness due to deficiency of Eum(陰, Yin). Metal-Gi[金氣] music and Water-Gi[水氣] music are mainly used in heat-clearing music therapy, The patients with the case of flaring-up of the heart Fire[心火] may listen to Metal-Gi[金氣] music. For the patient with rising of the liver Yang[肝陽], relieving constraint music therapy can be used. In other cases with patients with fidgetiness due to deficiency of Eum, replenishing vital essence music therapy can be used. This study describes the theory of heat-clearing music therapy[淸熱音樂療法] that has a good possibility as a new method of oriental medical treatment.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.8 no.4
• /
• pp.33-38
• /
• 2009

This paper proposes an automatic equalizer control method in automobile audio system. The proposed method discriminates the music segment from the consecutive real-time audio stream of the radio and the equalizer is controlled automatically according to the classified genre of the music segment. For enhancing the accuracy of the music genre classification in real-time, timbre feature and rhythm feature extracted from the consecutive audio stream is applied to GMM(Gaussian mixture model) classifier. The proposed method evaluates the performance of the music genre classification, which classified various audio segments segmented from the audio signal of the radio broadcast in automobile audio system into one of five music genres.

• Journal of Korea Multimedia Society
• /
• v.21 no.1
• /
• pp.45-50
• /
• 2018

This research paper describes how to summarize music lyrics using the TextRank algorithm. This method can summarize music lyrics as important lyrics. Therefore, we recommend music more effectively than analyzing the number of words and recommending music.