• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.5
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• pp.1208-1222
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• 2024

Music resources are characterized by quantization, diversification and complication. With the rapid increase of the demand for music resources, the storage of music resources is very large. In order to improve the retrieval effect of music resources, a massive music resources retrieval method based on ant colony algorithm is proposed to effectively use music resources. This paper constructs autocorrelation function to extract pitch feature of music resource, classifies the music resource information by calculating feature similarity. Using ant colony algorithm to correlate the feature of music resource, gain the result of correlative, locate the result of detection and get the result of multi-module. Simulation results show that the proposed method has high precision and recall, short retrieval time and can effectively retrieve massive music resources.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.81-88
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• 2019

Based on the theory of planned behavior and the theory of legal deterrence, this study takes consumers' willingness to pay for digital music as the research object, investigates the consumers who have digital music consumption channels and behaviors, and discusses the willingness of consumers to pay for digital music and its influencing factors. The study attempts to achieve the following research purposes: First, explore the influencing factors of willingness to pay for digital music using domestic and foreign literature research and related content analysis. Second, we want to examine the effect of Attitude, Collective Specifications, Quality Sensitivity and Music affinity on willingness to pay. Third, Legal deterrence and resource availability tries to verify whether there is a moderating effect between Attitude, Collective Specifications, Quality Sensitivity and Music affinity and willingness to pay. The research data was collected in 2019 between April 6th to May 8th. Questionnaires were randomly distributed in fixed places, mainly in Hubei Province, China. A total of 393 questionnaires were selected for data analysis. Based on the previous theoretical review and empirical analysis, the study draws the following conclusions: Firstly, attitude, collective specifications, quality sensitivity and music affinity have an impact on the willingness to pay. Second, Legal deterrence has a regulatory effect on the relationship among quality sensitivity, musical affinity and the willingness to pay. Last the resource availability has a significant impact on the willingness to pay. It also has a regulatory effect on the relationship among quality sensitivity, music affinity and the willingness to pay.

• Journal of Music and Human Behavior
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• v.16 no.2
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• pp.1-25
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• 2019

The purpose of this study was to investigate how inner resources of at-risk adolescents evolved through resource-oriented song psychotherapy (RoSPT). For this study, an RoSPT program was developed based on existing literature. Eight weekly group sessions of the RoSPT program were conducted with 25 adolescents who were under probation of prosecution. After completion of the program, 10 of the adolescents participated in individual interviews about the experience of RoSPT. Transcriptions of the interviews were analyzed via content analysis. The results identified nine types of inner resources that were utilized by the participants: hope/desires, challenge, endurance, sense of achievement, sense of competence, pride, discovering true self, courage, and internal locus of evaluation. The study supports that RoSPT can be applied to enhance inner strength of at-risk adolescents who often lack contextual and relational support. Further studies on qualitative exploration of resource formation can be helpful.

• Journal of Music and Human Behavior
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• v.12 no.2
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• pp.61-77
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• 2015

The purpose of this study was to investigate music therapists'use and perception of computer-based music technology. Questionnaires were distributed either electronically or in-person to 367 music therapists with credentials. Of the 367 initially distributed questionnaires, 101 were returned and 61 were analyzed after excluding 40 incomplete responses. The survey was comprised of two sections: the use of music technology and perceived importance of music technology in music therapy practice. The results showed that 65.6% of the respondents had used music technology in their clinical practice. The most frequently used type of music technology was Finale, followed by Garage band, and Cubase. With regard to the areas where music technology was used, it was implemented primarily for adolescents for musical or emotional goals, and was applied most frequently as a musical resource. In addition, most respondents showed a positive attitude toward music technology and added that they would need to be trained to use music technology for their clinical practice. These results provide practical information on how music therapists use and perceive computer-based music technology, and its implication for music therapy clinical practice.

• Smart Media Journal
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• v.10 no.4
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• pp.80-90
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• 2021

Using optical music recognition technology based on deep learning, we propose to apply the results derived to VR games. To detect the music objects in the music sheet, the deep learning model used YOLO v5, and Hough transform was employed to detect undetected objects, modifying the size of the staff. It analyzes and uses BPM, maximum number of combos, and musical notes in VR games using output result files, and prevents the backlog of notes through Object Pooling technology for resource management. In this paper, VR games can be produced with music elements derived from optical music recognition technology to expand the utilization of optical music recognition along with providing VR contents.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.1
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• pp.41-46
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• 2010

In this paper, the DoA(Direction of Arrival) estimator using unitary MUSIC algorithm is studied. The complex-valued correlation matrix of MUSIC algorithm is transformed to the real-valued one using unitary transform for easy implementation. The eigenvalue and eigenvector are obtained by the combined Jacobi-CORDIC algorithm. CORDIC algorithm can be implemented by only ADD and SHIFT operations and MUSIC spectrum computed by 256 point DFT algorithm. Results of unitary MUSIC algorithm designed by System Generator for FPGA implementation is entirely consistent with Matlab results. Its performance is evaluated through hardware co-simulation and resource estimation.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.91-99
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• 2010

Recently, recognizing user resource for personalized service has been needed in digital content service fields. Especially, to analyze user taste, recommend music and service music related information need recognition of user music file in case of online music service. Music related information service is offered through recognizing user music based on tag information. Recognition error has grown by weak points like changing and removing of tag information. Techniques of content based user music recognition with music signal itself are researched for solving upper problems. In this paper, we propose user music recognition on the internet by extracted feature from music signal. Features are extracted after suitable preprocessing for structure of content based user music recognition. Recognizing on music server consist of feature form are progressed with extracted feature. Through this, user music can be recognized independently of tag data. 600 music was collected and converted to each 5 music qualities for proving of proposed recognition. Converted 3000 experiment music on this method is used for recognition experiment on music server including 300,000 music. Average of recognition ratio was 85%. Weak points of tag based music recognition were overcome through proposed content based music recognition. Recognition performance of proposed method show a possibility that can be adapt to online music service in practice.

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1025-1032
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• 2017

Recently the domestic popular song market has been growing mainly in digital sound sources. As a result of analyzing the top 100 music charts from 2012 to 2016 through digital sound sources and musical scores, the average annual BPM has fallen by 11.26 over five years. Every year, The style of music has diversified every year, and the proportion of Hip-hop has doubled from 8.5% in 2012 to 17.8% in 2015. Dance music and ballads have a high preference rate, but the relationship is inversely proportional. Singer composition was inversely proportional to the ratio of female solo to male group. Especially, the relationship between BPM and the Major/Minor key is that 81.42% for slow tempo songs is Major key and 53.85% for fast tempo songs is minor key. In the case of TV drama OST, the solo singer 's music was preferred, the music style was 80% pop and 20% ballad.

• Journal of Family Resource Management and Policy Review
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• v.2 no.1
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• pp.119-132
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• 1998

The purpose of this study is to investigate some related factors which influence the well-being of the family life among the rural housewives, based on the satisfaction of the leisure. Questionnaires were distributed to the 200 housewives residing in Anseong. The 187 data obtained were analyzed by frequency, percentage, mean, F-test, Duncan’s multiple range test and correlation. The major findings of this study were summarized as follows. (1) There were significant differences on the satisfaction of sports leisure, culture center leisure and music and play leisure among the rural housewives according to the social demographic variables. (2) There were significant differences on the family life well-being among the rural housewives according to the satisfaction of sports leisure, the satisfaction of music and play leisure, the satisfaction of culture center leisure, the occupation of premarriage and the number of family members. Based on the above findings, it has been found that the satisfaction of leisure remains important factors to guide according to the radical changes. If greater attentions should be directed to the satisfaction of leisure activities, the quality of family life could be improved and stabilized.

• Journal of Music and Human Behavior
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• v.13 no.2
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• pp.1-16
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• 2016

The purpose of this study was to examine how primary school teachers use music for classroom teaching and management and how they perceive the effects of using music in their classroom. A total of 190 questionnaires were collected from primary school teachers and 119 responses were analyzed after excluding four responses from music teachers who are not in charge of a classroom. The results demonstrated that a greater number of respondents reported the use of music for classroom teaching than for classroom management. With regard to music use for classroom management, teachers most often attempted to enhance positive emotions of their students by playing children's songs. For classroom teaching, music was frequently used to increase students' motivation for learning. Also, while first through third grade teachers tended to use music frequently for both classroom teaching and management, fourth through sixth grade teachers mainly used music for teaching. Although most of the respondents perceived the positive influence of music on their children, they reported difficulties in using music in their classrooms. Respondents indicated the needs for music-related training or provision of materials to support teachers for effectively using music. Future studies are needed to develop music resource materials that could be readily utilized by teachers in a variety of contexts in primary school.