• Journal of the Korean Society for information Management
• /
• v.36 no.2
• /
• pp.223-254
• /
• 2019

The research on the archiving performing arts has recently been conducted on various aspects in Korea, but there has been no research or attempts to build a digital archive that can systematically identify the information on classical music performances in one place and get the past performance information. In this study, we proposed a participatory archive portal for providing, preserving and servicing information on all classical music performances, and tried to design the functions based on the requirements of the performance archive portal identified in previous research. We identified and proposed functional requirements of the portal, reorganized the characteristics of classical music performance information, and designed metadata elements. Then we presented the design and implementation direction of search and facet navigation, as well as user participation and communication functions. Lastly, we developed a prototype that implemented the requirements of the interface.

• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1213-1228
• /
• 2017

The pitch tracking of music has been researched for several decades. Several possible improvements are available for creating a good t-distribution, using the instantaneous robust algorithm for pitch tracking framework to perfectly detect pitch. This article shows how to detect the pitch of music utilizing an improved detection method which applies a statistical method; this approach uses a pitch track, or a sequence of frequency bin numbers. This sequence is used to create an index that offers useful features for comparing similar songs. The pitch frequency spectrum is extracted using a modified instantaneous robust algorithm for pitch tracking (IRAPT) as a base combined with the statistical method. The pitch detection algorithm was implemented, and the percentage of performance matching in Thai classical music was assessed in order to test the accuracy of the algorithm. We used the longest common subsequence to compare the similarities in pitch sequence alignments in the music. The experimental results of this research show that the accuracy of retrieval of Thai classical music using the t-distribution of instantaneous robust algorithm for pitch tracking (t-IRAPT) is 99.01%, and is in the top five ranking, with the shortest query sample being five seconds long.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.6
• /
• pp.691-696
• /
• 2018

We propose an algorithm to update weight to use the mean square error method and mutual coupling matrix in a coherent channel. The algorithm proposed in this paper estimates the desired signal by using the updated weight. The updated weight is obtained by covariance matrix using mean square error and mutual coupling matrix. The MUSIC algorithm, which is direction of arrival estimation method, is mostly used in the desired signal estimation. The MUSIC algorithm has a good resolution because it uses subspace techniques. The proposed method estimates the desired signal by updating the weights using the mutual coupling matrix and mean square error method. Through simulation, we analyze the performance by comparing the classical MUSIC and the proposed algorithm in a coherent channel. In this case of the coherent channel for estimating at the three targets (-10o, 0o, 10o), the proposed algorithm estimates all the three targets (-10o, 0o, 10o). But the classical MUSIC algorithm estimates only one target (x, x, 10o). The simulation results indicate that the proposed method is superior to the classical MUSIC algorithm for desired signal estimation.

• Journal of Internet Computing and Services
• /
• v.25 no.4
• /
• pp.57-64
• /
• 2024

This paper aims to enhance the accuracy of music genre classification for music tracks where genre information is not provided, by utilizing machine learning to classify a large amount of music data. The paper proposes collecting and preprocessing data instead of using the commonly employed GTZAN dataset in previous research for genre classification in music. To create a dataset with superior classification performance compared to the GTZAN dataset, we extract specific segments with the highest energy level of the onset. We utilize 57 features as the main characteristics of the music data used for training, including Mel Frequency Cepstral Coefficients (MFCC). We achieved a training accuracy of 85% and a testing accuracy of 71% using the Support Vector Machine (SVM) model to classify into Classical, Jazz, Country, Disco, Soul, Rock, Metal, and Hiphop genres based on preprocessed data.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.9 no.4
• /
• pp.337-342
• /
• 2016

In this paper, we studied a modified linear prediction method to estimate target signal correctly. Linear prediction method estimate direction-of-arrival to linear combination for any antenna element and other antenna elements. Modified linear prediction used optimal weight and posterior probability method. Through simulation, we are comparative analysis about the performance of proposed, bartlett and MUSIC method. From simulation, Bartlett and MUSIC method was estimation 3 targets signal, and proposed method estimated 4 targets. We showed the superior performance of the proposed algorithm relative to the classical method in order to estimate of target signals.

• Journal of Korean Library and Information Science Society
• /
• v.38 no.3
• /
• pp.425-454
• /
• 2007

This study is to present a draft for the formulation of uniform title for sound recordings of the Korean traditional music. The draft as the results of this study is summarized as follows: In a musical work of a type of non-composition, the popular name is put into square brackets as a uniform title of court music and folk music in the old Korean traditional music, and the composer's original title is put into square brackets as a uniform title of the new Korean traditional music, but the medium of performance and others are omitted except an identifying element. However, for the formulation of uniform title of a type of composition in an instrumental music, the descriptive form consisted of the order of 'name of one type of composition, medium of performance, serial number, opus number, key, and a descriptive word or phrase' is put into square brackets as a uniform title and the identifying elements. And in the vocal music of the old Korean traditional music, the following medium of performance is used: in vocal choruses, a type of voices; in solo voices, a type of solo voice by sex, but one of the new Korean traditional music follows the descriptive form of the western classical music.

• The Journal of the Acoustical Society of Korea
• /
• v.23 no.7
• /
• pp.532-539
• /
• 2004

In this Paper, we propose a content-based music information retrieval (MIR) system base on the query-by-example (QBE) method. The proposed system is implemented to retrieve queried music from a dataset where 60 music samples were collected for each of the four genres in Classical, Hiphop. Jazz. and Reck. resulting in 240 music files in database. From each query music signal, the system extracts 60 dimensional feature vectors including spectral centroid. rolloff. flux base on STFT and also the LPC. MFCC and Beat information. and retrieves queried music from a trained database set using Euclidean distance measure. In order to choose optimum features from the 60 dimension feature vectors, SFS method is applied to draw 10 dimension optimum features and these are used for the Proposed system. From the experimental result. we can verify the superior performance of the proposed system that provides success rate of 84% in Hit Rate and 0.63 in MRR which means near 10% improvements over the previous methods. Additional experiments regarding system Performance to random query Patterns (or portions) and query lengths have been investigated and a serious instability problem of system Performance is Pointed out.

• The Journal of the Korea Contents Association
• /
• v.16 no.6
• /
• pp.168-182
• /
• 2016

The domestic market for performances and concerts is rapidly growing. However, despite of the various efforts to attract audience, the market still struggles in securing consumers for classical music performances. In this context, the following thesis first explores the factors that determine the choice of performances through open-ended questions to categorize the types of consumers based on the results. Then, effects of different factors of choices for each type of consumer are studied to find out how these factors affect the consumers' purchasing decisions. As a result, 35 factors out of the 40 factors were ultimately confirmed as the factors that determine the consumers' choice for purchasing classical music performances. Then, the 35 factors were classified into seven categories. Moreover, an empirical analysis showed that personal factors, factors regarding contents of the performance, information factors, environmental factors and marketing factors had significant effects on the consumers' purchasing decisions. The degree of influence of the factors for each type of audience varied. This study conclusively seeks to contribute to developing a more thorough marketing strategies for performance arts institutions and performance venues.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37 no.2A
• /
• pp.119-127
• /
• 2012

In this paper a super-resolution time delay estimation algorithm is developed for real-time locating systems (RTLSs) that employ a direct-sequence spread spectrum technique, along with its performance analysis in multipath environments. The classical correlation method provides relatively good performance in line-of-sight (LOS) environments but its performance seriously degrades in multipath environments, especially when signals are spaced closer than a PN chip. Therefore we shall develop a super-resolution time delay estimation algorithm that may estimate the time delays of multipath signals even in closely spaced multipath environments using the MUSIC algorithm for direction-of-arrival estimation and analyze its performance by applying the algorithm to the ISO/IEC 24730-2.1 RTLS system. 

• Review of Culture and Economy
• /
• v.17 no.2
• /
• pp.3-28
• /
• 2014

The characteristics of performing arts differ from those of utilitarian goods in terms of economics. Factors other than price need to be considered to understand the demand for performing arts. Audience surveys as well as econometric demand studies have confirmed that socio-economic factors such as age, income, employment, and education are major determinants of the demand for performing arts. This study focused on the attributes of concerts rather than consumer characteristics to determine the concerts audiences select in terms of transaction cost. Genre, price, internet search trends, and the purpose of performance as well as price are tested as determinants of demand by using the data set for a major concert hall in Seoul. Genre and the specific purpose of concerts influence the demand for concerts. Internet search trends of the performer are used as indicators of popularity and information exposure, which are positively correlated with demand. This result supports the hypothesis that larger audiences would attend concerts that require lower information search costs. To note, price has a positive effect on demand in the higher price range, which means that concerts at higher prices attract larger audiences, whereas normal goods have a negative slope in the demand curve. This result can be explained by the hypothesis that consumers use price as an indicator of the quality expected of a concert. Transaction cost for selecting classical concerts thus forms an inverse-U shape curve against ticket price. These results provide some explanation of why audiences of classical music choose to attend concerts at high ticket prices while offering evidence in favor of the hypothesis that performing arts are selected in a social context.