• Journal of Advanced Navigation Technology
• /
• v.17 no.4
• /
• pp.386-395
• /
• 2013

This paper proposes a root-assisted MUSIC algorithm which uses a combination of the MUSIC and the root-MUSIC algorithm. This algorithm consists of two steps. Firstly, a coarse DOA is computed by the root-MUSIC algorithm. Secondly, a precise DOA estimation is carried out by the MUSIC algorithm in the reduced searching range. This paper analyzes the accuracy and the resolution performance of the proposed DOA estimation method using a software simulation platform.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.24 no.9A
• /
• pp.1322-1328
• /
• 1999

In this paper, we propose a Multiple Signal Classification(MUSIC) in conjunction with signal enhancement (SE-MUSIC) for solving the direction-of-arrival estimation problem of multiple incoherent plane waves incident on a uniform linear array. The proposed SE-MUSIC algorithms involve the following main two-step procedure : ( i )to find the enhanced matrix that possesses the prescribed properties and which lies closest to a given covariance matrix estimate in the Frobenius norm sense and (ii) to apply the MUSIC to the enhanced matrix. Simulation results are illustrated to demonstrate the better resolution and statistical performance of the proposed method than MUSIC at lower SNR.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.28 no.11
• /
• pp.880-885
• /
• 2017

In AD-MUSIC algorithm, DOD/DOA can be estimated without computationally expensive two-dimensional search. In this paper, to further reduce the computational complexity, the Newton type method has been applied to one-dimensional search. In this paper, we summarize the formulation of the AD-MUSIC algorithm, and present how to apply Newton-type iteration to AD-MUSIC algorithm for improvement of the accuracy of the DOD/DOA estimates. Numerical results are presented to show that the proposed scheme is efficient in the viewpoints of computational burden and estimation accuracy.

• MALSORI
• /
• no.61
• /
• pp.63-74
• /
• 2007

Discrimination of music and speech from the multimedia signal is an important task in audio coding and broadcast monitoring systems. This paper deals with the problem of feature parameter extraction for discrimination of music and speech. The wavelet transform is a multi-resolution analysis method that is useful for analysis of temporal and spectral properties of non-stationary signals such as speech and audio signals. We propose new feature parameters extracted from the wavelet transformed signal for discrimination of music and speech. First, wavelet coefficients are obtained on the frame-by-frame basis. The analysis frame size is set to 20 ms. A parameter $E_{sum}$ is then defined by adding the difference of magnitude between adjacent wavelet coefficients in each scale. The maximum and minimum values of $E_{sum}$ for period of 2 seconds, which corresponds to the discrimination duration, are used as feature parameters for discrimination of music and speech. To evaluate the performance of the proposed feature parameters for music and speech discrimination, the accuracy of music and speech discrimination is measured for various types of music and speech signals. In the experiment every 2-second data is discriminated as music or speech, and about 93% of music and speech segments have been successfully detected.

• The Journal of the Korea Contents Association
• /
• v.14 no.7
• /
• pp.115-124
• /
• 2014

In order to satisfy consumers' various desires for music performance, as it is important how to form sympathy with consumers, it is significant for music performance planners to find out which values the audiences think important when it comes to music performance art. The purpose of this study is to examine a relationship among worth to watch, performance satisfaction and desire of respectating that the audience recognizes. A questionnaire survey was carried out on 182 participants who have gone to musical performances. As a result of the study, 'educational value', 'economical value', 'emotional value' and 'social value' of spectating music performance had positive effects on both 'watching satisfaction' and 'desire of respectating', and especially when it comes to spectating satisfaction, emotional value and economical value were the significant effects, and for desire of respectating, economical value and social value were significant. Also, it was found that spectating satisfaction had a positive relationship with a desire of respectating. As implications according to the result of the study, firstly, it is necessary for music performance planner or performing artist to inspire emotional value of audience in order to increase spectating satisfaction of the audience, and performances needs to be planned considering economical values. Secondly, in order to improve desire of respectating, it is important to analyze which elements can increase economical and social values of the audience.

• (The) Research of the performance art and culture
• /
• no.33
• /
• pp.223-242
• /
• 2016

The Korean $taeg{\breve{u}}m$, a horizontal bamboo flute, is considered a representative wind instrument of Korean traditional music. Symbolized by its unique timbre and diverse techniques, this instrument transmits the beauty of Korea, and has become acknowledged even in international music scenes. Being a $taeg{\breve{u}}m$ player, composer, and ethnomusicology researcher, I have developed creative collaborations with musicians from Asian, electro-acoustic, jazz, and Western art music traditions developed outside my country of origin and tried to overcome musical boundaries through the 'intercultural performances' (after Turner 1988). Zooming in one collaboration, I detail the process of music creation and performance, collaborating with prominent Korean composer Kim $Taes{\breve{o}}ng$ (b.1967), who was commissioned by myself to write two compositions for the $taeg{\breve{u}}m$ and Western art music. The purpose is twofold: firstly, the modernization and appropriation of the Korean flute is briefly tracked down within the context of Western Art music. Secondly, a performance project is illustrated with the support of technical apparatuses such as DVD and CD recordings and delves further into the question of the 'cultural relativism' (Michael Tenzer, 2006: 7) through the interactive process. The performance-as-research, as a tool 'actualizing' (Richard Schechner 2003: 32) the hybridity, touches on critical domains in Ethnomusicology. The corresponding two parts discover, as Alan Merriam's(1964) 'tripartite model' suggests, the 'context' of Korean and Western cultures, the 'behaviour' of collaborating and performing and the 'sound' of improvised and composed productions in the course of music making.

• Proceedings of the KSPS conference
• /
• 2003.05a
• /
• pp.149-152
• /
• 2003

In this paper, we present a performance comparison of feature parameters and classifiers for speech/music discrimination. Experiments were carried out on six feature parameters and three classifiers. It turns out that three classifiers shows similar performance. The feature set that captures the temporal and spectral structure of the signal yields good performance, while the phone-based feature set shows relatively inferior performance.

• Journal of Korea Society of Industrial Information Systems
• /
• v.11 no.5
• /
• pp.18-27
• /
• 2006

Rapid increase of the amount of music data demands for a new method that allows efficient similarity retrieval of music genre using audio features in music databases. To build this similarity retrieval, an indexing techniques that support audio features as a time-series pattern and data mining technologies are needed. In this paper, we address the development of a system that retrieves similar genre music based on the indexing techniques. We first propose the structure of content-based music genre retrieval system based on the time-series pattern index file and data mining technologies. In addition, we implement the time-series pattern index file using audio features and present performance analysis of the time-series pattern index file for similar genre retrieval. The experiments are performed on real data to verify the performance of the proposed method.

• 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 Korea Multimedia Society
• /
• v.11 no.10
• /
• pp.1338-1346
• /
• 2008

In this paper, we propose a new P2P-based music recommendation system. In comparison with previous system in client-server environment, the proposed system shows higher quality of music recommendation through real-time sharing of music preference information between peers. A collaborative filtering is implemented as a recommendation algorithm. As a user preference profile, we use the inherit KID music genre index contained in all legitimate music file instead of music feature vectors as in previous research so that the proposed system can mitigate the performance degradation and high computational load caused by feature inaccuracy and feature extraction. The performance of the proposed system is evaluated in various ways with real 16-weeks transaction data provided by Korean music portal, 5 company and it shows comparative quality of recommendation with only small amount of computational load.