• Journal of IKEEE
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• v.14 no.4
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• pp.305-311
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• 2010

Most recent web search engines perform effective keyword-based multimedia contents retrieval by investigating keywords associated with multimedia contents on the Web and comparing them with query keywords. On the other hand, most music and compilation albums provide professional artwork as cover art that will be displayed when the music is played. If the cover art is not available, then the music player just displays some dummy or random images, but this has been a source of dissatisfaction. In this paper, in order to automatically create cover art that is matched with music contents, we propose a music album cover art creation scheme based on music contents analysis and result synthesis. We first (i) analyze music contents and their lyrics and extract representative keywords, (ii) expand the keywords using WordNet and generate various queries, (iii) retrieve related images from the Web using those queries, and finally (iv) synthesize them according to the user preference for album cover art. To show the effectiveness of our scheme, we developed a prototype system and reported some results.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.323-330
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• 2004

As mobile market grows more and more fast, the mobile contents market, especially music contents for mobile phones have recorded remarkable growth. In spite of this rapid growth, mobile web users experience high levels of frustration to search the desired music. New musics are very profitable to the content providers, but the existing collaborative filtering (CF) system can't recommend them. To solve these problems, we propose an extended CF system to reflect the user's real preference by representing the characteristics of users and musics in the feature space. We represent the musics using the music contents based acoustic features in multi-dimensional feature space, and then select a neighborhood with the distance based function. Furthermore, this paper suggests a recommendation for procedure for new music by matching new music with other users' preference. The suggested procedure is explained step by step with an illustration example.

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.97-104
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• 2015

In this study, the investigator distributed total 100 questionnaires by childcare center teachers in final analysis. The purposes of the study were to examine teachers' perceptions of early childhood music education provided by childcare centers or kindergartens and also the difficulties they experienced with the instruction of early childhood music education and thus provide basic data to develop an educational program for early childhood teachers and search for a direction in early childhood music education in the field of education. The findings were summarized as follows: Both kindergarten and childcare center teachers showed a high perception level of need for and importance of early childhood music education. The teachers thought that early childhood music education facilitated the development of young children across all areas and promoted their pleasure and expressive abilities. Providing music education, the teachers faced difficulties due to the lack of musical knowledge, basic musical skills, and experiences with and confidence in musical activities. They also felt a need for teacher education.

• The Journal of the Acoustical Society of Korea
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• v.24 no.3
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• pp.178-185
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• 2005

This paper presents a new music identification method using probabilistic and dynamic characteristics of melody. The propo3ed method uses pitch and MFCC parameters as feature vectors for the characteristics of music notes and represents melody pattern by pitch histogram and temporal sequence of codeword indices. We also propose a new pattern matching method for the hybrid method. We have tested the proposed algorithm in small (drama OST) and broad (1.005 popular songs) search spaces. The experimental results on search areas of OST and 1,005 popular songs showed better performance of the proposed method over conventional methods. We achieved the performance improvement of average $9.9\%$ and $10.2\%$ in error reduction rate on each search area.

• Korean Journal of Digital Imaging in Medicine
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• v.11 no.2
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• pp.59-62
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• 2009

The purpose of this study is to know about solution of insecurity sense for solving the tediousness and inducing comfortableness in long time MRI examination. Studies were examined with total of 117 patients that the intention expression of self is possible for a month without dividing man and woman in november 2006. Examination methods were filled in questionnaire after testing using Siemens Impact 1.0T. The musical art were selected through intranet search and record sale inquiry using CD player and speaker. That kind of a music were selected with Korean classical music's 10 chapter, pop song 10's chapter, classic's 10 chapter and Korean popular song's 10 chapter. With analytical method, patients of under 40 year-old, or older and patients using ear-pad and head-phone were classified into groups. As analysis result with question item of questionnaire, most of the patients were showed a favor(36.72%) in playing a music, specially, examination of about 15.38% which uses the headphone prefer a music as older generation of over 40 year-old. In conclusion, with installing of the professional musical program in MRI test rooms, if listening to the music with selection by oneself before testing by season, age, time through development of appropriate musical program will be able to expect the more effect.

• Journal of Advanced Navigation Technology
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• v.10 no.3
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• pp.250-255
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• 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 the Korea Society of Computer and Information
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• v.18 no.8
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• pp.43-52
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• 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 KIISE:Databases
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• v.34 no.5
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• pp.409-419
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• 2007

Database community focuses on the similar music retrieval systems for music database when a humming query is given. One of the approaches is converting the midi data to time series, building their indices and performing the similarity search on them. Queries based on humming can be transformed to time series by using the known pitch detection algorithms. The recently suggested algorithm, scaled and warped matching, is based on dynamic time warping and uniform scaling. This paper proposes Humming BIRD(Humming Based sImilaR mini music retrieval system) using sliding window and center-aligned scaled and warped matching. Center-aligned scaled and warped matching is a mixed distance measure of center-aligned uniform scaling and time warping. The newly proposed measure gives tighter lower bound than previous ones which results in reduced search space. The empirical results show the superiority of this algorithm comparing the pruning power while it returns the same results.

• The Journal of the Acoustical Society of Korea
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• v.6 no.2
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• pp.5-14
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• 1987

In order to examine the different effects of noise and music on mental tasks, an addition of figures as a left-hemispheric task and a pattern search as a right-hemispheric task were given to elementary school pupils under conditions of jet noise stimulus, music stimulus, and no-sound stimulus, respectively. Results showed that effects of music and noise stimuli during these tasks were significantly different. The subjects under music stimulus tended, when performing additions, to show occasional short periods in which they produced substantially less than their own average rate of work. This is due to interaction between calculation and hearing music in the left hemisphere, whereas there was no detrimental effects on the task of addition under noise stimulus as well as no-sound stimulus because the addition and the noise may be separately processed in different cerebral hemispheres. As effects of noise on performing search task, the subjects tended to show instantaneous agitations in their working curves. Since noise with no-meaning is processed in the right hemisphere, it may be explained as an interacting effect in this hemisphere.

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