• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.693-694
• /
• 2014

This short paper briefly describes the proposed music recommendation method that provides suitable music pieces to a listener depending on both listeners' ratings and content of music pieces. The proposed method consists of two methods. First, listeners' ratings prediction method is a combination the traditional user-based and item-based collaborative filtering methods. Second, genre classification method is a combination of feature extraction and classification procedures. The feature extraction step obtains audio signal information and stores it in data structure, while the second one classifies the music pieces into various genres using decision tree algorithm.

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

• Korean Journal of Child Studies
• /
• v.32 no.1
• /
• pp.1-11
• /
• 2011

This aim of this study was to investigate the effects of the music appreciation teaching-learning method on the musical ability of young children. The music appreciation activities were developed firstly in consideration of the 4 steps of the learning cycle (recognition, exploration, inquiry, application). One group was then taught music appreciation, taking into account the learning cycle. The results were then compared with another comparative group in terms of musical ability. The results indicated that the musical ability sum of the treatment groups improved more than the comparative group. More specifically, the treatment group for four-year-olds was seen to have improved significantly more than the comparative group in terms of musical ability. These results indicate that this music appreciation teaching-learning method has a number of positive effects upon young children`s musical ability. Therefore, it is suggested that kindergarten teachers conduct instruction with an appropriate accompanying learning cycle as part of the teaching-learning method when it comes to improving the musical ability of young children.

• 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.

• The KIPS Transactions:PartB
• /
• v.17B no.4
• /
• pp.263-274
• /
• 2010

To provide context-aware music recommendation service, first of all, we need to catch music mood that a user prefers depending on his situation or context. Among various music characteristics, music mood has a close relation with people‘s emotion. Based on this relationship, some researchers have studied on music mood detection, where they manually select a representative segment of music and classify its mood. Although such approaches show good performance on music mood classification, it's difficult to apply them to new music due to the manual intervention. Moreover, it is more difficult to detect music mood because the mood usually varies with time. To cope with these problems, this paper presents an automatic method to classify the music mood. First, a whole music is segmented into several groups that have similar characteristics by structural information. Then, the mood of each segments is detected, where each individual's preference on mood is modelled by regression based on Thayer's two-dimensional mood model. Experimental results show that the proposed method achieves 80% or higher accuracy.

• Journal of Korea Multimedia Society
• /
• v.13 no.10
• /
• pp.1565-1574
• /
• 2010

While we are driving a car, we are able to listen to musics by two ways: by selecting (manipulating) what we want and by just playing as they are given (in CD). These methods make a driver tired while he is driving or it means that a music which is provided is not concerned with a driver's preference. To improve these problems, there have been many studies about the automatic music providing systems based on driver's emotion. However, these studies have some difficult problems: the first one is that it is not easy to determine driver's emotion, and the other one is that it is hard to recommend and play the suitable music corresponding to the determined user's emotion. In this paper, to overcome the second problem mentioned above, a new mapping method between driver's emotion and music genre for automatic music providing system on vehicle is presented and two experiments are examined for the validation of the proposed method. The experimental results and discussions are explored to show the effectiveness and validity of the proposed method.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2008.04a
• /
• pp.276-280
• /
• 2008

Korean Classical Music, as the abbreviated wording for 'Korean Music', is being used as the indicating phraseology for our traditional music that distinguishing from Western Music, the foreign music or foreign-styled popular music. Since such Korean Classical Music has the different acoustic characteristics from Western Music, it needs its own performance space for the special exclusive-use of Korean Classical Music. Likewise, even though the demand for the performance space of special exclusive-use for Korean Classical Music where Korean Classical Music is rendering, is on increasing tendency due to the increase of national concern about traditional culture art, since it is being planned without any concrete standard or method that gratifies the supreme listening condition, it is the real situation that a securement of the satisfying acoustic condition is very difficult, after the completion of construction. On such viewpoint, in order to evaluate the acoustic characteristics of the performance space of special exclusive-use for Korean Classical Music, based on the subjective response which reflects human being's psychological attribute at first, this Study has attempted to extract the proper evaluation vocabulary for appraisement on Korean Classical Music. The abstracted vocabulary in such way would be used significantly for Subjective Response Evaluation in order for the evaluation on the Acoustic Characteristics of the performance space of special exclusive-use for Korean Classical Music.

• Journal of Korean Academy of Nursing
• /
• v.36 no.2
• /
• pp.321-329
• /
• 2006

Purpose: The purpose of this study was to determine the effects of music therpy on anxiety and depression in patients undergoing hemodialysis. Method: The study was designed using a nonequivalent control group pretest-posttest design. The subjects consisted of 36 patients (Experimental group: 18, Control group: 18) who received hemodialysis in three hospitals located in Seoul. The measures were a Music Preference Questionnaire (MPQ), anxiety measurement, and depression measurement. Data was collected from December 26, 2004 to April 2, 2005 through questionnaires. The collected data was analyzed by the SPSS 10.0 program. Result: The first hypothesis that patients undergoing hemodialysis who received music therapy would have less anxiety than patients undergoing hemodialysis who did not receive music therapy was supported(F=8.05, p=.008). The second hypothesis that patient undergoing hemodialysis who received music therapy would have less depression than patients undergoing hemodialysis who did not receive music therapy was supported(F=11.86, p=.002). Conclusion: The results of this study suggest that music therapy may be applied as a method of nursing intervention contributing to the improvement of quality life by reducing their anxiety and depression of patients undergoing hemodialysis.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.12
• /
• pp.3943-3959
• /
• 2022

People are constantly exposed to stress and anxiety environment, which could contribute to a variety of psychological and physical health problems. Therefore, it is particularly important to identify psychological stress in time and to find a feasible and universal method of stress reduction. This research investigated the influence of different music, such as relaxation music and natural rhythm music, on stress relief based on Electroencephalogram signals. Mental arithmetic test was implemented to create a stressful environment. 23 participants performed the mental arithmetic test with and without music respectively, while their Electroencephalogram signal was recorded. The effect of music on stress relief was verified through stress test questionnaires, including Trait Anxiety Inventory (STAI-6) and Self-Stress Assessment. There was a significant change in the stress test questionnaire values with and without music according to paired t-test (p<0.01). Furthermore, a model based on Transformer for stress level classification from Electroencephalogram signal was proposed. Experimental results showed that the method of listening to relaxation music and natural rhythm music achieved the effect of reducing psychological stress and the proposed model yielded a promising accuracy in classifying the Electroencephalogram signal of mental stress.

• Journal of Music and Human Behavior
• /
• v.11 no.2
• /
• pp.59-80
• /
• 2014

Helen Lindquist Bonny developed the Bonny Method of Guided Imagery and Music (BMGIM), a music oriented self-exploration of consciousness, with the influence of humanistic and client-centered approaches. BMGIM can help people manage pain, anxiety, relationship issues, depression, and other conditions through self-awareness and self-potential. The purpose of this biographical study was to explore Bonny's early life experiences and their contribution to the humanistic and transpersonal approach to music therapy. The study was organized in chronological order: Bonny's childhood and young adulthood; inspirations that led to development of BMGIM; and research and clinical events that helped solidify the development of BMGIM. An interview with Bonny and a review of the literature supported the significance of these periods. The years between 1972 and 1979 mark the development of the first series of BMGIM music programs, which Bonny said served as the base for many later GIM music programs developed. Bonny's contribution to the field of music therapy includes the provision of strong foundation for music therapy based on Maslow's and Rogerian approach, and the introduction of time-valued music to the music therapy field.