• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.205-218
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• 2019

Music sampling, which has been popular since hip-hop DJs used it in the 1970s, is now one of methods of producing music that is used regardless of genre or country. In this study, an overall production methodology for music sampling was presented through in terms of content and techniques. First of all, in terms of the contents, we classified them into the reuse and length of materials, and the function of samples in the mixed songs. In terms of the techniques, editing and effecting techniques were classified. By combining these elements, the methodology of music sampling applicable to the productions as well as the analysis was presented. Based on this methodology, the sampled songs of Korean Popular musicians - Jang Ki-ha and Faces, Epik High, The Quiet, and DJ DOC - were successfully analysed. Through the analysis process, the organic relationship of elements within the methodology was investigated, and the results of the analysis showed the effectiveness of the proposed methodology. This study can be meaningful in laying the groundwork for applying music sampling directly when actually producing songs or analyzing sampled songs.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.291-302
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• 2019

In this paper, we first looked at the structures and characteristics of the musical instrument to study the tone of haegeum, which is the only Korean musical instrument made using all the eight ingredients that make gugak instruments, and which is now the most frequently used in fusion gugak or pop music production sites. In addition, for the comparison of the various tones of the haegeum, under the same conditions, we analized how the haegeum's tone changes according to the types of Wonsan, which works as the bridge of the haegeum. Four Wonsan made of Park, Rosewood, Maple and Black Dan were used in the experiment, and low, medium, and high notes were recorded to compare the inner and outter open strings and the sound ranges. By doing so, we looked at the composition of frequency characteristics and the distribution and analyzed the timbres according to the types of Wonsan. Based on this study, it is expected to help the performers in the field choose the proper Wonsan according to each harmony part, rather than just to their tastes when performing Gugak orchestral music or haegeum ensemble. We also look forward to playing haegeum and using the timbres in various combinations of Wonsan that suit the genres at the pop music industry.

• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.55-66
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• 2022

Many studies have shown that musical dissonance generally evokes negative affect, but few studies detail how distinct dissonant intervals, ranging in various roughness, influence emotions and cognition. This research entailed two experiments to confirm whether varying musical intervals of dissonance trigger particular negative emotions and increase cognitive interference. Experiment 1 assumed that different dissonant intervals would elicit distinct negative emotions. In a survey involving 131 participants, there was an overwhelming consensus that dissonant intervals elicited stronger high arousal negative affect than low arousal negative affect. The major 7th degree was found to evoke a significantly stronger feeling of scared. Experiment 2 investigated whether emotions-affecting dissonance would have an enhancing effect on cognitive interference. According to a color-word Stroop task conducted on 81 participants, the presence of any dissonant sound caused significantly higher reaction times and error rates than in the absence of sound. In particular, the minor 2nd degree was cognitively the most disruptive and associated with the slowest reaction times. This paper shows how different ranges of dissonance can effectively influence negative affect and heighten cognitive interference.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.23-48
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• 2013

This study compared and analyzed 15 CBMR (Content-based Music Retrieval) systems accessible on the web in terms of DB size and type, query type, access point, input and output type, and search functions, with reviewing features of music information and techniques used for transforming or transcribing of music sources, extracting and segmenting melodies, extracting and indexing features of music, and matching algorithms for CBMR systems. Application of text information retrieval techniques such as inverted indexing, N-gram indexing, Boolean search, truncation, keyword and phrase search, normalization, filtering, browsing, exact matching, similarity measure using edit distance, sorting, etc. to enhancing the CBMR; effort for increasing DB size and usability; and problems in extracting melodies, deleting stop notes in queries, and using solfege as pitch information were found as the results of analysis.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.79-88
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• 2011

In this paper, We propose real-time sound editing and playback systems which is based on Augmented Reality. The proposed system are composed with music maker which is based on AR maker and music board. By using music marker's contents, the proposed system selects the kinds of musical instruments and pre-defined midi track and by calculating the relative location of music marker on 2-dimensional plane, we set the spatial relative parameter in midi track. For performance evaluation, we check the jitter value of in various resolutions by using CAM which supports $1600{\pm}1200$ as the maximum resolution. As a result, when we set the configuration value of CAM as $860{\pm}600$ pixels and process two frames per minute, the success ratio of recognizing music markers and jitter values are accegnable. It can be utilized in the fields of alternative cmacine which is based on music and also be utilized in the educational aspects because child or elderly who don't know enough musical theory can easily handle it.

• Journal of Oral Medicine and Pain
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• v.35 no.1
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• pp.49-59
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• 2010

The purpose of this study was to investigate short-term masticatory muscle reactions in response to simulated noise and music sound. Hypothesis of this study was that loud noise would cause increased stiffness and decreased elasticity of the masticatory muscles compared to low level of noise or identical sound level of music. Fifteen male volunteers were recruited for the study. The sound levels of noise and music used here were 60 dB and 100 dB. The experiment comprised 4 sessions, Session 1 with 100 dB of noise for the 1st day of experiment: Session 2 with 100 dB of music for the $2^{nd}$ day: Session 3 with 60 dB of noise for the $3^{rd}$ day: Session 4 with 60 dB of music for the $4^{th}$ day. Stiffness and elasticity on the anterior temporalis and superficial masseter muscles were measured with tactile sensor before and 2, 4 and 6 minutes after exposure of sound. The study indicated that, in short-term exposure of sound, there was no significant difference between noise and music at both 60 and 100 dB of sound level, but that there were partially significant differences between 60 and 100 dB of sound level regardless of sound type. This suggest that high level of sounds like 100 dB used in this study, in spite of short term exposure of several minutes, would lead to masticatory muscle contraction, especially in the masseter muscles.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.11a
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• pp.36-37
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• 2013

음악 장르 분류 분야에서는 다양한 특징을 모아서 사용하는 방법과 support vector machine (SVM) 분류기가 주로 사용되고 있다. 이 논문에서는 거리 함수 학습를 음악 장르 분류에 적용하여 성능 향상을 꾀한다. 여러 거리 함수 학습 방법 중 하나의 방법을 선택하고, 일반적으로 많이 사용되는 특징 셋을 활용하여 다양한 특징 셋에 대해서 적용하였을 때, 실제 성능 향상이 있는지를 알아본다. 세 종류의 특징 셋을 사용하여 실험한 결과 두 가지 특징이 같이 있는 특징 셋에 대해서만 성능 향상이 있었으며, SVM보다 높은 성능을 보이지 못 했다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1381-1387
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• 2015

This paper proposes a sketch drawing system called m-shaper for musical shape generation. Through simple sketch drawing, users can generate musical shape configuration which can be played by a computer. One key ingredient of the process is a unique concept for the interactive musical shape generation that combines shape and sound based on the designers' manual inputs. m-shaper captures the numerical values of drawing characteristics and determines how the musical notes and shapes can be generated. Using a tablet, four sketch movements are captured such as pressure, tilt, rotation and speed. Each point of a shape corresponds to a certain musical note that represents a type of instrument, duration, pitch, and octave. The current m-shaper has been developed as a computational tool for supporting the schematic design process. Designers in m-shaper draw geometric sketches with a musical inspiration and explore possible conceptual forms. They also can control the parameters for results and transform their sketch drawing.

• The Journal of the Acoustical Society of Korea
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• v.43 no.2
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• pp.207-213
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• 2024

In this paper, we study how to improve the performance of a machine learning-based automatic music transcription model by adding musical information to the input data. Where, the added musical information is information on the number of pitches that occur in each time frame, and which is obtained by counting the number of notes activated in the answer sheet. The obtained information on the number of pitches was used by concatenating it to the log mel-spectrogram, which is the input of the existing model. In this study, we use the automatic music transcription model included the four types of block predicting four types of musical information, we demonstrate that a simple method of adding pitch number information corresponding to the music information to be predicted by each block to the existing input was helpful in training the model. In order to evaluate the performance improvement proceed with an experiment using MIDI Aligned Piano Sounds (MAPS) data, as a result, when using all pitch number information, performance improvement was confirmed by 9.7 % in frame-based F1 score and 21.8 % in note-based F1 score including offset.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.465-477
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• 2016

ADHD (Attention Deficit Hyperactivity Disorder) appears most in childhood and shows attention deficit, hyperactivity and impulsive activity. If these symptoms are left untreated, they consistently remain as difficulties throughout the childhood and in some cases they will last until adolescence and adulthood. Various researches on music therapy as well as psychological therapy and Korean classical music appreciation have currently been conducted. However, a variety of programs have introduced in the name of treatment but the improvement results through the application of programs and teaching methods, in reality, have hardly been a specific case. Thus, music educators as well as this researcher should make the efforts to form holistic characters and have interest in countless children with ADHD. Accordingly, this researcher, who has taught piano lessons, has performed a wide variety of convergence art teaching methods by applying methods of Dalcroze, Kodaly, and Orff to children with ADHD, misanthropy or lack of affection. As a result, symptoms have lessened and been treated for ADHD children with attention deficit. On the basis of this experience, there have appeared more educational effects by applying these to other children. This researcher is certain that this study will a foundation of music therapy education for children with each kind of syndrome.