• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1024-1034
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• 2019

Preference for music is determined by a variety of factors, and identifying characteristics that reflect specific factors is important for music recommendations. In this paper, we propose a method to extract the singing voice related music features reflecting various musical characteristics by using a model learned for singer identification. The model can be trained using a music source containing a background accompaniment, but it may provide degraded singer identification performance. In order to mitigate this problem, this study performs a preliminary work to separate the background accompaniment, and creates a data set composed of separated vocals by using the proven model structure that appeared in SiSEC, Signal Separation and Evaluation Campaign. Finally, we use the separated vocals to discover the singing voice related music features that reflect the singer's voice. We compare the effects of source separation against existing methods that use music source without source separation.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.337-342
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• 2010

The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users are tend to build play-list for manage songs. However the manual selection of songs for creating play-list is bothersome task. This paper proposes an auto play-list recommendation system considering user's context of use and preference. This system has two separate systems: mood and emotion classification system and music recommendation system. Users need to choose just one seed song for reflection their context of use and preference. The system recommends songs before the current song ends in order to fill up user play-list. User also can remove unsatisfied songs from recommended song list to adapt user preferences of the system for the next recommendation precess. The generated play-lists show well defined mood and emotion of music and provide songs that user preferences are reflected.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.437-449
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• 2024

This study analyzed the influence of MBTI (Myers-Briggs Type Indicator) personality types on preferences for user interface (UI) design in music applications. Through an online survey, 535 responses were collected, and data were processed using ANOVA analysis in Python. The analysis revealed that certain MBTI types tend to prefer combinations of warm and neutral color tones, aligning with their artistic sensibilities and emphasis on harmony. Conversely, other MBTI types show a preference for colder color tones or combinations of cold and neutral tones, reflecting their practical and systematic tendencies. Additionally, it was found that UI layout preferences also vary according to personality types. Some MBTI types exhibit a preference for the 'Mostly Fluid' model, reflecting their efficient and systematic nature. These findings underscore the importance of considering users' individual personality types in UI design for music applications.

• Korean Journal of Adult Nursing
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• v.12 no.4
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• pp.654-665
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• 2000

The purpose of this study was to elucidate the effects of music therapy on the preoperative anxiety of surgerial patients. The research design was a nonequivalent control, group non-synch-ronized design. The data were collected during the period from January 4 to March 17, 1999 at C-University hospital in Seoul. The subjects were sixty patients who had surgery under general anesthesia and had undergone laparotomy. They were assigned to two groups, thirty to the experimental group and thirty to the control group. They also did not have any complication, were alert enough to be interviewed and agreed willingly to participate in this study. The tool of Trait Anxiety Inventory was used to measure trait-anxiety on all patients and the Visual Analogue Scale(VAS) was used to measure state-anxiety on all patients. And systolic and diastolic blood pressure, pulse rate, and blood sugar levels were collected a the day before surgery and the preoperative period. The experimental group received music therapy with self-selected music tapes after choosing from a Music Preference Questionnaire, while the control group didn't receive music therapy. Data were analyzed by ${\chi}^2$-test, t-test, paired t-test. The results of this study are summarized as follows: 1. The preoperative state anxiety of the experimental group was re-markably lower than that of the control group. 2. Decreasing rate in the vital signs of the experimental group was remarkably lower than that of the control group. 3. The preoperative blood sugar of the experimental group was remarkably lower than that of the control group. According to these results, Music Therapy can be regarded as an effective nursing intervention that relieves preoperative anxiety of surgical patients and helper stabilize vital signs. From this study, the following recommendations can be made: 1. In order to decrease surgical patient's preoperative anxiety, I suggest the nursing intervention should go side by side with music therapy.

• Proceedings of the Acoustical Society of Korea Conference
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• 1992.06a
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• pp.3-8
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• 1992

The theory of subjective preference with temporal and spatial factors which include sound signals arriving at both ears is described. Then, auditory evoked potentials which may relate to a primitive subjective response namely subjective preference are discussed. According to such fundamental phenomena, a workable model of human auditory-brain system is proposed. For eample, important subjective attributes, such as loudness, coloration, threshold of preception of a reflection and echo distrubance as well as subjective preference in relation to the initial time delay gap between the direct sound and the first reflection, and the subsequent reverberation time are well described by the autocorrelation function of source signals. Speech clarity, subjective diffuseness as well as subjective preference are related to the magnitude of inter-aural crosscorrelation function (IACC). Even the caktail party effects may be eplained by spatialization of human brain, i.e., independence of temporal and spatial factors.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.1
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• pp.71-85
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• 2004

Many online content providers who use the Internet to distribute contents, such as news, music, games, books, and other types of information, have been experiencing an extremely competitive business environment. To survive in this environment, they have started charging a fee for the contents that they provide. However, there have been very few success stories in commercializing online contents. One of the biggest hurdles may be customers' psychological resistance against paying a fee for the contents that have been free of charge previously. Without examining customers' perceived prices for online contents, many online content providers have tended to decide their prices by themselves. Online games are not exceptional cases. Although many online game-related research works have focused on psychological and technical aspects, very few works have examined online garners' preference carefully. This study alms at exploring online garners' preference by measuring their WTP (willingness to pay) for online games.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.345-352
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• 2013

The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

• The Journal of the Acoustical Society of Korea
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• v.38 no.2
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• pp.139-144
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• 2019

Various room acoustic parameters and their optimal values were proposed and verified as proper interpretations to the listeners' preference of concert hall sounds. However the listening environment has been changed since they were developed, and the listeners' preference may not be the same among countries of different cultural backgrounds. Actual listeners' preference should be applied to the design of a new concert hall. A survey on the listening preference was carried out for 22 music experts. A room acoustical design process was proposed which made the acoustical environment of a concert hall as close to the listeners' preferences.

• Journal of Music and Human Behavior
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• v.19 no.1
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• pp.93-112
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• 2022

The purpose of this study was to compare participants' perceived emotion following harmonic changes in music. In this study, 144 participants, aged 19 to 29 years, listened to music online that included low to high harmonic progression in tonal music (major-minor). After listening to each piece of music, participants were asked to rate 4 items using a 7-point Likert scale: emotional potency, arousal, degree to which the harmony impacted the listener's emotions, and listener's preference for the music. There were significant differences between each of the four items upon the level of harmonic progression. When the participants were divided into two groups (i.e., those with a background in music and those with no background in music), there was a significant difference between the groups in terms of emotional potency, but there was no significant interaction effect. This study confirmed that various emotional responses in listeners can be induced by controlling the exogenous variables in musical excerpts. Based on this, it is expected that the harmonic progression level can be provided to the client to be used as an effective therapeutic tool in music therapy intervention.

• 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.