• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.597-607
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• 2019

In this study, we suggest a policy for setting the direction of Jeju Music Education with implications from the process of arranging philosophical theories related to music education and analyzing advanced cases. The philosophical theories of music education were examined by Schiller, Steiner, Dewey, Bourdieu, Reimer, and Elliotts. In addition, this study checked the lessons in music education programs in Germany, Venezuela, and Finland, and we make policy suggestions in four contexts to set the direction of music education in the Jeju community based on interviews with 10 experts. Suggestions for improving social awareness of music education, suggestions for music education in the elementary and secondary public school sectors, in the proposals for music education in the lifelong education sector, and the suggestions for institutional policy all included music education professionals recruited from among the culture and art sectors within the Jeju Special Self-Governing Province's Cultural Policy Division. Music advisors were also recruited from the music and sector music councils within the Jeju Special Self-Governing Province Council.

• Journal of Music and Human Behavior
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• v.20 no.1
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• pp.1-19
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• 2023

This study explored the role and characteristics of music that contributed to experiences of catharsis in music. An empirical phenomenological study was conducted to explore catharsis with 12 adults. Phenomenological reduction, change of attitude, literature interpretation, and hermeneutic circle were used for data collection and analysis. As a result, three categories, five themes, and 11 sub-themes were identified. The first category, here and now in music consisted of two themes: aesthetic experiences and expansion of musical novelty. The second category, inner connection through music consisted of one theme, re-experience of internal emotions. The third category, immersion and engagement in music consisted of two themes: ventilating or deepening of emotions and internal dynamics. Based on these results, the cathartic characteristics of music are discussed. First, the aesthetics and novelty of music kept participants fully stay in music. Second, music induced a re-experiencing of emotions by triggering memories or stimulating unresolved emotions. Third, the elements of music promoted emotional ventilation, deepening, and internal dynamics. This study is meaningful because it qualitatively examined the roles and characteristics of music that contribute to cathartic experience in the general adult population.

• Journal of Music and Human Behavior
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• v.21 no.1
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• pp.1-27
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• 2024

This study investigates the link between music integration in the lives of adults in their twenties and their school music experiences. Ten individuals in their twenties were interviewed to explore their experiences based on the self-determination theory's fundamental psychological needs (autonomy, competence, and relatedness). Participants were categorized into an active music engagement group (5 individuals) and an inactive group (5 individuals) for individual interviews. Transcripts were analyzed following the five steps of grounded theory data analysis technique. Results indicated a strong connection between music activities during school years and current motivation for music integration, associated with the fulfillment of psychological needs outlined in the self-determination theory. Particularly, this study identified the instructional methods, school music activities, and performance evaluations as closely related to autonomy, competence, and relatedness. It offers a comprehensive analysis of how experiences in these areas during school music activities correlate with values and motivations for music integration in adulthood. Additionally, the study suggests ways to promote the voluntary incorporation of music into life through positive experiences of autonomy, competence, and relatedness in music activities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1487-1494
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• 2011

In this paper, a novel genre classification algorithm is proposed for music recommendation system. Especially, to improve the classification accuracy, the band-pass filter for octave-based spectral contrast (OSC) feature is designed considering the psycho-acoustic model and actual frequency range of musical instruments. The GTZAN database including 10 genres was used for 10-fold cross validation experiments. The proposed multiple-octave based OSC produces better accuracy by 2.26% compared with the conventional OSC. The combined feature vector based on the proposed OSC and mel-frequency cepstral coefficient (MFCC) gives even better accuracy.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.133-140
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• 2012

In this paper, we propose a music recommendation method considering users' tags by collaborative tagging in a social music site. Since collaborative tagging allows a user to add keywords chosen by himself to web resources, it provides users' preference about the web resources concretely. In particular, emotional tags which represent human's emotion contain users' musical preference more directly than factual tags which represent facts such as musical genre and artists. Therefore, to classify the tags into the emotional tags and the factual tags and to assign weighted values to the emotional tags, a tag ontology called UniTag is developed. After preprocessing the tags, the weighted tags are used to create user profiles, and the music recommendation algorithm is executed based on the profiles. To evaluate the proposed method, a conventional playcount-based recommendation, an unweighted tag-based recommendation, and an weighted tag-based recommendation are executed. Our experimental results show that the weighted tag-based recommendation outperforms other two approaches in terms of precision.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.286-296
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• 2010

The study of the development of DJ robots is to meet the demands of the music services which are changing very rapidly in the digital and network era. Existing studies, as a whole, develop music services on the premise of personalized environment and equipment, but the DJ robot is on the premise of the open space shared by the public. DJ robot gives priority to traditional space and music. Recently as the hospitality and demand for cultural contents of South Korea expand to worldwide, industrial use of the contents based on traditional or our unique characteristics is getting more and more. Meanwhile, the DJ robot is composed of a combination of two modules. One is to detect changes in the external environment and the other is to set the properties of the music by psychology, emotional engineering, etc. DJ robot detect the footprint of the temperature, humidity, illumination, wind, noise and other environmental factors measured, and will ensure the objectivity of the music source by repeated experiments and verification with human sensibility ergonomics based on Hevner Adjective Circle. DJ robot will change the soundscape of the traditional space being more beautiful and make the revival and prosperity of traditional music with the use of traditional music through BGM.

• Phonetics and Speech Sciences
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• v.4 no.3
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• pp.103-110
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• 2012

In this paper, a target signal detection method using multiple signal classification (MUSIC) algorithm is proposed. The MUSIC algorithm is a subspace-based direction of arrival (DOA) estimation method. Using the inverse of the eigenvalue-weighted eigen spectra, the algorithm detects the DOAs of multiple sources. To apply the algorithm in target signal detection for GSC-based beamforming, we utilize its spectral response for the DOA of the target source in noisy conditions. The performance of the proposed target signal detection method is compared with those of the normalized cross-correlation (NCC), the fixed beamforming, and the power ratio method. Experimental results show that the proposed algorithm significantly outperforms the conventional ones in receiver operating characteristics (ROC) curves.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.7
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• pp.1025-1035
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• 1995

In this paper, we realize a real time digital FM synthesizer based on genetic algorithm using a general purpose digital signal processor. Especially, we synthesize diverse music sounds nicely using a synthesis model consisting of a single modulator and multiple carriers. Also we present genetic algorithm-based technique which determines optimal parameters for reconstruction through FM synthesis of a sound after analyzing the spectrum of PCM data as a standard music sound using FFT. Using the suggested parameter extractiuon algorithm, we extract parameters of several instruments and then synthesize digital FM sounds. To verify the validity of the parameter extraction algorithm as well as realization of a real time digital music synthesizer, the evaluation is first done by listening the sound directly as subjective test. Secondly, to evaluate the synthesized sound objectively with an engineering sense, we compare the synthesized sound with an original one in a time domain and a frequency domain.

• Journal of Information Management
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• v.38 no.2
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• pp.59-83
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• 2007

This study develops and presents data modeling and metadata elements in order to build system based on FRBR for music resources. This process intends to build bibliographic system to systematically manage and efficiently retrieve music resources.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.7-11
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• 2010

In this paper, we propose an improved speech/music discrimination method based on a feature combination and dimensionality reduction approach. To improve discrimination ability, we use a feature based on spectral duration analysis and employ the hierarchical dimensionality reduction (HDR) method to reduce the effect of correlated features. Through various kinds of experiments on speech and music, it is shown that the proposed method showed high discrimination results when compared with conventional methods.