• Journal of Korean Biological Nursing Science
• /
• v.15 no.2
• /
• pp.65-73
• /
• 2013

Purpose: The purpose of this study was to review the literature on music intervention for neurological patients in Korea and to explore the effect of music intervention on functional rehabilitation of neurological patients. Methods: This systematic review examined literature from 2005 to 2010. The existing literature was searched in the electronic databases of RISS and KISS using the following keywords: music, rhythmic movement, stroke, brain injury, dementia, Parkinson, spinal cord injury. Seventy-seven studies were founded through the database. After The exclusion of duplicates, case studies, literature review, and irrelevant studies, nine studies were included for analysis. Results: They included nine quasi-experimental studies. The medical diagnoses of the study participants were stroke, dementia, brain injury, and spinal cord injury. Among nine studies, only two studies were conducted in the nursing area. Eight studies used comprehensive music programs composed of health education, gait training, vocal training, or relaxation therapy, and these comprehensive programs were effective in the areas of physical and psychosocial treatment. Seventeen sessions were provided on average throughout intervention, and the average duration of each session was 49.4 minutes. Conclusion: Comprehensive music intervention can be implemented in nursing care for patients with neurological problem.

• The Journal of the Acoustical Society of Korea
• /
• v.43 no.2
• /
• pp.200-206
• /
• 2024

Computing music similarity is an indispensable component in developing music search service. This paper proposes a relevance weight of each chromagram vector for cover song identification in computing a music similarity function in order to boost identification accuracy. We derive a music similarity function using the relevance weight based on the probabilistic relevance model, where higher relevance weights are assigned to less frequently-occurring discriminant chromagram vectors while lower weights to more frequently-occurring ones. Experimental results performed on two cover music datasets show that the proposed music similarity improves the cover song identification performance.

• The Journal of the Acoustical Society of Korea
• /
• v.41 no.6
• /
• pp.662-667
• /
• 2022

Computing music similarity is an indispensable component in developing music search service. This paper focuses on learning a music similarity function in order to boost cover song identification performance. By using the probabilistic linear discriminant analysis, we construct a latent music space where the distances between cover song pairs reduces while the distances between the non-cover song pairs increases. We derive a music similarity function by testing hypothesis, whether two songs share the same latent variable or not, using the probabilistic models with the assumption that observed music features are generated from the learned latent music space. Experimental results performed on two cover music datasets show that the proposed music similarity improves the cover song identification performance.

• 한국정보교육학회:학술대회논문집
• /
• 2010.08a
• /
• pp.221-226
• /
• 2010

Culture is like living organisms based on local and history. Therefore, we don't understand the whole phase of the culture if we neglect the information of the time and space. In this paper, we describe a preliminary study building of a 3D electronic cultural atlas about the national education center for Korean traditional music.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.5
• /
• pp.923-930
• /
• 2018

In the wireless communication system based on an array antenna, the angle of arrival (AOA) information of signal is very important element and various AOA estimation algorithms have been studied. Although most AOA estimation algorithms employ the uniform linear array (ULA), some algorithms apply the planar array (PA) antenna. In this paper, we present an algorithm for efficiently estimating AOAs of adjacent multiple signals, based on the uniform rectangular array antenna. This approach has two steps; after approximately estimating AOA groups consisting of the closely located signal sources using CAPON, accurately estimating the individual AOA of each signal in the estimated AOA group using Beamsapce MUSIC. The estimation performance of the presented cascade AOA algorithm is illustrated through the computer simulation example.

• Cartoon and Animation Studies
• /
• s.49
• /
• pp.589-610
• /
• 2017

This study aimed at examining the music world of the composer Muczynski, who played an important and meaningful role in the various experimental trends of music which began to appear in the early $20^{th}$ century, and his works, thereby understanding his relationship with the development of music of various genres today. In the study, his pieces of piano music among his works, which formed the basis for his music, were analyzed. The study examined stylistic characteristics, that is techniques of various types including form, melody, harmony, tonality, rhythm and structure, and introduced the composer's growth in terms of music and philosophical background. Muczynski, the composer who showed the characteristics of neoclassicism, neoromanticism and neobaroque in contrast to the various forms of the $20^{th}$ music, namely music of free styles including atonal music, twelve-tone technique, avant-garde music and electronic music, used traditional forms. However, the characteristics of his works are very free. In addition, in the 1960s, he participated in the production of documentary movie music, creating very creative and sensational music. Muczynski's music has the features of tonality and shows neoclassic and neoromantic features including economical idea, lyrical melody, bitonality and nine-note scale. His music, therefore, is being evaluated as very creative and valuable and is largely significant in that it has provided a good basis for the development of modern movie music and jazz music today.

• The Journal of the Acoustical Society of Korea
• /
• v.36 no.6
• /
• pp.436-441
• /
• 2017

Computing music similarity is indispensable in constructing music retrieval system. This paper focuses on the cover song search among various music-retrieval tasks. We investigate the cover song search method based on the chroma n-gram to reduce storage for feature DB and enhance search accuracy. Specifically we propose t-tab n-gram, n-gram selection method, and n-gram set comparison method. Experiments on the widely used music dataset confirmed that the proposed method improves cover song search accuracy as well as reduces feature storage.

• 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 IKEEE
• /
• v.23 no.1
• /
• pp.249-253
• /
• 2019

Most of music-transcription systems that have been commercialized operate based on audio information. However, these conventional systems have disadvantages of environmental dependency, equipment dependency, and time latency. This paper studied a vision-based music-transcription system that utilizes video information rather than audio information, which is a traditional method of music-transcription programs. Computer vision technology is widely used as a field for analyzing and applying information from equipment such as cameras. In this paper, we created a program to generate MIDI file which is electronic music notes by using smart-phone cameras to record the play of piano.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.1
• /
• pp.77-87
• /
• 2017

In this paper, we propose an analysis of the sound source of virtual orchestral music in detail by using the production technology of sampling and playback, and technical experiments and verification for the most advanced Hollywood Library series of timbre and the timbre production and control technology of Vienna instrument Pro and other softwares, to find their solutions and come up with the best timbre production method for orchestral music from the perspective of the specific design ideas of the productions of virtual orchestral instruments. The so-called virtual orchestral instruments are non-real orchestral instruments, which are based on the imitation of timbre of real orchestral instruments, processed and synthesized through the scientific and technological means, and produced by the use of electronic equipments or computers. The study of virtual timbre production technology is very important, and it is like the study of composers' creative techniques. Not only scientific and advanced timbre production methods can be obtained from the study, but also new ways of future timbre production are expected to be explored.