• Journal of information and communication convergence engineering
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• v.9 no.2
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• pp.161-165
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• 2011

Recently, According to increasing interest to original sound Karaoke instrument, MIDI type karaoke manufacturer attempt to make more cheap method instead of original recoding method. Separating technique for singing voice from music accompaniment is very useful in such equipment. We propose a system to separate singing voice from music accompaniment for stereo recordings. Our system consists of three stages. The first stage is a spectral change detector. The second stage classifies an input into vocal and non vocal portions by using GMM classifier. The last stage is a selective frequency separation stage. The results of removed by listening test from the results for computer based extraction simulation, spectrogram results show separation task successfully. Listening test with extracted MR from proposed system show vocal separating and removal task successfully.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.608-616
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• 2017

The purpose of this study was to compare how three kinds of emotionally different music impacted on the emotion and arousal by measuring EEG. The research method was to compare the measurement of the background EEG on Fp1 and Fp2 before, while and after listening using a 2-channel EEG device with various experimental groups aging from 20s to 50s. The results were as follows. 1) At both Fp1 and Fp2, the amplitude of alpha(8-13Hz), SMR(12-15Hz), low beta, high beta, and ${\alpha}/-{\beta}$significantly increased in all music, while at Fp2 only, theta and ??/SMR increased meaningfully.2) At right prefrontal cortex(Fp2), all bands of EEG predominated while and after listening to all songs over Fp1 except for the delta of funeral march which predominated while listening to Fp1.3) The music with a noticeably high alpha value and increased activity was Prelude. These results suggested that Prelude induced brain activity along with relaxation, and the emotionally heavy burden of funeral march decreased the activity of the left brain. This research revealed that feeling emotional change by listening to music was due to the fact that music influenced the brain activity inducing the change of emotion and arousal.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.674-684
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• 2023

The purpose of this study was to investigate the effect of acute listening to music on the cardiovascular reactivity to sympathoexcitation. In this crossover design study, 15 healthy adults(23.1±1.94(yrs) were randomized to either (1)acute listen to the subject's preferred music for 30 minutes and (2)sat as a time control by an experiment coordinator. After completing each trial, the cold pressor test(CPT) was conducted. Heart rate(HR) and blood pressure(BP) were measured for 4 times at baseline, during and after the CPT. Heart rate variability(HRV) were measured for 3 times at baseline, prior and after the CPT. HR and BP increased during the CPT in both trial and returned to baseline after CPT(time effect, p < .001). After CPT, brachial systolic BP reactivity to the CPT was attenuated in listening to music trial compared to control trial(p = . 008). As a result of heart rate variability(HRV), the difference values between the baseline and prior to the CPT showed a significant increase in standard deviation of the NN intervals(SDNN), total power(TP) and high frequency(HF) only in the music trial (p = .001, p = .002, p = .011). The difference value between prior to and after the CPT did not show significance. But compared with the control trial, the music trial was confirmed that SDNN, TP and HF were more activated. Therefore, listening to music alleviated anxiety and tension before the CPT, and it is estimated that it had a favorable effect on stability after the CPT. This findings showed that listening to music may have a positive effect on brachial systolic BP and HRV to sympathoexcitation.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.75-85
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• 2017

Personalization recommendations have already proven in many areas of the e-commerce industry. For personalization recommendations, additional work such as reclassifying items is generally necessary, which requires personal information. In this study, we propose a recommendation technique that neither exploit personal information nor reclassify items. We focus on music recommendation and performed experiments with actual music listening data. Experimental analysis shows that the proposed method may result in meaningful recommendations albeit it exploits less amount of data. We analyze the appropriate number of items and present future considerations for contextual recommendation.

• Korean Journal of Child Studies
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• v.25 no.3
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• pp.115-126
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• 2004

The purpose of this study was to examine the effects of Korean traditional music education for young children on the development of musical attitude and rhythmic sense of young children. The subjects were 42 four or five-year-old children enrolled in two classes of a public kindergarten. Half were in the experimental and half were in the control group. Instruments were "Music Interest Test for Young Children" (Kim, 2000), "Musical Attitude Rating Scale for Young Children" (Ahn & Han, 1999) and "Primary Measures of Music Audiation" (Gordon, 1986). The procedure included pre-test, treatments and post-test paradigm. Experimental group had Korean traditional music activities three times per week, including listening, appreciation, singing, playing traditional instruments and creative movement. The control group was merely provided with materials related to the Korean traditional music. Data was analyzed by t-test. Results indicated significant differences in music attitude and rhythmic sense between the experimental group and the control group.

• Korean Journal of Childcare and Education
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• v.15 no.2
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• pp.125-144
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• 2019

Objective: The purpose of this study was to examine the effects of early childhood teachers' music attitude and emotional leadership on their music teaching efficacy in the music education. Methods: 301 early childhood teachers answered the music attitude scale, music teaching efficacy belief instrument, emotional leadership scale, and questionnaire for socio-demographic characteristics and music experiences. Data were analyzed by t-test, one-way ANOVA, Pearson's productive correlation analysis and hierarchical regression analysis. Results: First, early childhood teachers had a higher music teaching efficacy in case of at least 10 years of teaching experiences period, having a post-graduate degree, having a music training experience, enjoying learning musical instruments and singing and listening to music during regular music lessons, and having a long music training experience. Similar results were derived from the subfactors of music teaching efficacy. Second, there were positive correlations(r=.172-.659, p < .001) in the total and subfactors scores among early childhood teachers' music attitude, emotional leadership, and music teaching efficacy. Lastly, early childhood teachers' music attitude and their emotional leadership were explained at 39~52 percent for their music teaching efficacy. Conclusion/Implications: This study suggests that it is important for early childhood teachers' perception of their belief, knowledge and feeling about music education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.1098-1101
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• 2022

With the development of computer music notation programs, when drawing sheet music, it is often drawn using a computer. However, there are still many use of hand-written notations for educational purposes or to quickly draw sheet music such as listening and dictating. In previous studies, OMR focused on recognizing the printed music sheet made by music notation program. the result of handwritten OMR with camera is poor because different people have different writing methods, and lens distortion. In this study, as a pre-processing process for recognizing handwritten music sheet, we propose a method for recognizing a staff using linear regression and a method for recognizing a bar using CNN. F₁ scores of staff recognition and barline detection are 99.09% and 95.48%, respectively. This methodologies are expected to contribute to improving the accuracy of handwriting.

• Journal of Music and Human Behavior
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• v.9 no.2
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• pp.19-34
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• 2012

The purpose of this study was to investigate the empirical elements of non-Korean traditional musicians in the process of Pansori music listening. 5 non-Korean traditional musicians who are not professionally trained Korean music were participated in this study. The data were collected in depth interviews and analyzed from modified ground theory method. The findings showed that the elements of performer's voice, Chang-bub, contents, Gosu's buk sound and Gosu's role evoked various physical, emotional reponses and thoughts in all listeners. Through these responses the listeners awared internal issues related to inner problems and positive intervention aroused inner feelings. Also, emotional responses and awareness were reorganized their negative emotion and resolved through the different dimension of Pansori music.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.6
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• pp.195-200
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• 2010

This paper introduces a new mobile music service, private music on demand (PMOD), which is implemented by mobile DJ in wireless and wired networks. The newly introduced PMOD service is based on the concept that users can have music services at anytime and by any form they want. The mobile DJ implementing PMOD services, therefore, enables users to do more than simply listening music through networks.

• Proceedings of the KSPS conference
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• 2006.05a
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• pp.143-146
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• 2006

Music is now digitally produced and distributed via internet and we face a huge amount of music day by day. A music summarization technology has been studied in order to help people concentrate on the most impressive section of the song andone can skim a song as listening the climax(chorus, refrain) only. Recent studies try to find the climax section using various methods such as finding diagonal line segment or kernel based segmentation. All these methods fail to capture the inherent structure of music due to polyphonic and noisy nature of music. In this paper, after applying moving average filter to time domain of MFCC/chroma feature, we achieved a remarkable result to capture the music structure.