• International Journal of Contents
• /
• v.8 no.2
• /
• pp.1-6
• /
• 2012

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environments. We found that dynamic noise reduction (DNR) is the best pre-processing method for a music retrieval system in noisy environments.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.4
• /
• pp.39-46
• /
• 2016

While the difficulty of the music can be classified by a variety of standard, conventional methods are classified by the subjective judgment based on the experience of many musicians or conductors. Music score is difficult to evaluate as there is no quantitative criterion to determine the degree of difficulty. In this paper, we propose a new classification method for determining the degree of difficulty of the music. In order to determine the degree of difficulty, we convert the score, which is expressed as a traditional music score, into electronic music sheet. Moreover, we calculate information about the elements needed to play sheet music by distance of notes, tempo, and quantifying the ease of interpretation. Calculating a degree of difficulty of the entire music via the numerical data, we suggest the difficulty evaluation of the score, and show the difficulty of music through experiments.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.6
• /
• pp.1170-1175
• /
• 2007

This paper presents techniques to recognize music using back propagation network one of the neural network algorithms, and to preprocess technique for music mage. Music symbols and music notes are segmented by preprocessing such as binarization, slope correction, staff line removing, etc. Segmented music symbols and music notes are recognized by music note recognizing network and non-music note recognizing network. We proved correctness of proposed music recognition algorithm though experiments and analysis with various kind of musics.

• Journal of Digital Contents Society
• /
• v.19 no.6
• /
• pp.1105-1114
• /
• 2018

The growth rate of the domestic digital music contents market has been remarkable recently. Accordingly, the necessity of prediction for chart success of digital music contents has grown. This paper proposes prediction indexes for chart success of digital music contents through analysis of correlation between social data such as Internet news, SNS and entry rankings in Melon's weekly music charts. We collected a total of 10 social data items for each male and female artist, and executed cluster analysis. Through this, we found meaningful prediction indexes for chart success of digital music contents for each male and female artist.

• Korean Journal of Child Studies
• /
• v.36 no.6
• /
• pp.101-123
• /
• 2015

The purpose of this study was to examine how musical pieces were presented in music activities on the Teacher's Guidebooks in order for young children to experience the aesthetics of music. For the purposes of this research, the ways to address musical elements and the music activities of 100 musical works in the Teacher's Guidebooks were analyzed. In addition, the aesthetic qualities of the same musical pieces presented by the sound sources were examined. Following this, an analysis of the relationship between the elements used and the aesthetic qualities of the music was carried out by comparing the previous analysis. The results were as follows. First, melody (38.1%), rhythm (29.0%), and timbre (20.5%) were the most utilized elements of musical works in such activities. Secondly, the most utilized method to present music activities was singing. Among 100 musical pieces, 74 pieces used singing activities. Next, the most audible aesthetic quality from sound sources was that of the melody, presented in 69 pieces (46.6%) among 100 musical works. Lastly, among 100 musical works, at least 64 pieces were matched with more than one, whereas 34 did not.

• Korean Journal of Child Studies
• /
• v.37 no.2
• /
• pp.1-11
• /
• 2016

Objective: This study examined how child care teachers' playfulness and recognition of music and movement relate to their teaching intention of music and movement. Methods: Participants were 200 child care teachers in Seoul, Incheon and Gyeonggi areas. The data were analyzed for descriptive statistics, pearson's correlation analysis, hierarchical multiple regression analysis, and sobel test. Results: The main results were as follows: First, child care teachers' playfulness, teaching intention of music and movement and their recognition of music and movement were positively correlated. Second, child care teachers' playfulness influenced on their teaching intention of music and movement. Finally, teachers' recognition of music and movement mediated the relationship between teachers' playfulness and their teaching intention of music and movement. Conclusion: This study showed that teachers' playfulness influenced on their positive recognition of music and movement activities, which was the variable that caused mediation in the teachers' playfulness and their teaching attention.

• The Journal of the Korea Contents Association
• /
• v.14 no.12
• /
• pp.924-934
• /
• 2014

In the last 10 years the digital music contents market has grown rapidly. However digital music contents product and services are not managed with product planning and price policy considered customer attitude and digital music contents values. This study is to define the value properties of digital music contents services based on streaming and download as genre, price, sound quality, and usage appliance, and suggest the strategic market price and service composition of digital music contents service by customer attitudes about the value properties. The research used the conjoint analysis methodology based on the hedonic price model and collected 405 questionaries by users of Korean digital music contents services to the analysis. Hence 'sound quality' in download platform, and 'appliance' in streaming platform were the elements to evaluate the customer attitude. The results present the music contents productions and companies have to provide the differentiated services and price by the value properties of user preference in the market.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.3
• /
• pp.116-124
• /
• 2020

The advantage of the distance learning universities based on the 4th Industrial Revolution is that anyone can conveniently take lectures anytime, anywhere on the web. In addition, research has been actively conducted on the effect of light color and temperature control upon student performance during online classes. However, research on how the conditions of subjects, lighting colors, and music selection improve the degree of a student's concentration during online lectures has not been completed. To solve these problems in this paper, we have developed automatic analysis system SW for the weak subjects of learners by applying intelligent analysis algorithm, have proposed and simulated music therapy and art therapy. Moreover, It proposed in this paper an algorithm for an automatic analysis system, which shows the weak subjects of learners by adopting intelligence analysis algorithms. We also have presented and simulated a music therapy and art therapy algorithms, based on the blended learning, in order to increase students concentration during lecture.

• The Research Journal of the Costume Culture
• /
• v.19 no.3
• /
• pp.579-596
• /
• 2011

As a sport with artistic characteristics, figure skating draws upon important elements such as costumes, music, melody interpretation, and choreography. The combination of figure skating music and costume is an important influence on scoring, moreover, it forms some images and characteristics of the athlete. The purpose of this study is to consider and analyze the correlation between figure skating music and costumes. The study mostly focuses on the main international competitions from 2008 to 2010, such as the Winter World Figure Skating Championships, Four Continents Figure Skating Championships, Grand Prix of Figure Skating Final and gala shows of a single female and male and female pairs, ice dances of the medalists. The concepts and characteristics of figure skating music were examined collected the literature quotes internet sites, photos and video, clips through the homepage and internet sites. Focusing on the medalists of the main international competitions from 2008 to 2010, following the analysis results of figure skating by genre of music, the differences among classical music, pop music, movie music, musical music, folk music have been classified, and according to the features of music genres, the differences of items, colors, details and accessories of clothing were brought out. Depending on the features of music genres, figure skating costumes have been changed of items, colors, materials, details and accessories. Thus, the close correlation between the story of figure skating music and atmosphere has been analyzed. This study contributes to improve the completion of programs which is completed through the development of figure skating costumes design that is regarded specially for the artistic value.

• Journal of Music and Human Behavior
• /
• v.19 no.2
• /
• pp.1-26
• /
• 2022

This review was conducted to identify the research trends in music intervention studies with elderly patients with dementia. Korean- and English-written studies on music intervention for this population were searched and analyzed. Seventeen studies were included in the final analysis. The results showed that behavioral and psychological symptoms were the main dependent variables. In terms of the type of music intervention employed, interventions requiring the patient's active participation in producing music were more common than interventions that required the patient to only listen to music. The majority of studies provided live music, selected music that was familiar to and preferred by the patient, and utilized rhythm-based performance activities. In the studies using active music production as the intervention, the participants were asked to express the emotions evoked by group instrument playing or singing along with music, which doesn't reflect the functional limitations (e.g., cognitive impairment) of elderly patients with moderate to severe dementia. The results of this review point to the need in the field to develop music intervention programs for the elderly with moderate to severe dementia that meaningfully engage these patients in music-related behaviors that target their specific symptomology.