• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.725-732
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• 2009

Thanks to the development of the Internet, people can easily access a vast amount of music. This brings attention to application systems such as a melody-based music search service or music recommendation service. Extracting melodies from music is a crucial process to provide such services. This paper introduces a novel algorithm that can extract melodies from piano music. Since piano can produce polyphonic music, we expect that by studying melody extraction from piano music, we can help extract melodies from general polyphonic music.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.923-927
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• 2009

The recent growth of a digital music market induces increasing demands for music searching and recommendation services. In order to improve the performance of music-based application services, the process of extracting melodies from polyphonic music is essential. In this paper, we propose a method to extract melodies from piano solo music which is highly polyphonic and has a wide pitch range. We categorize piano music into three classes taking into account the characteristics of music, and extract melodies according to each class. The performance evaluation for the implemented system showed that our method works successfully on a variety of piano solo music.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1738-1741
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• 2019

Music performance techniques have been primarily trained by apprenticeship. The technique transfer, which relies on the imitation of experience and actual performance without scientific evidence, required the pianists more time and effort than necessary. However, if the players in the field discover the principles of universally applicable piano playing techniques in collaboration with scientists, they will avoid errors and prepare a new paradigm in the development of piano playing techniques. This is why music performance science is needed. Little has been studied about it in Korea, but it has been activated abroad since the mid-1990s. The core science of music performance science is expected to be computer science fitting data analysis. In this paper, we introduce music performance science for the pianist and present how computer can help it.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.659-666
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• 2024

Germaine Tailleferre is the only woman composer among the French group of six composers known as "Les Six." In her 70-year career, she has left behind numerous chamber music pieces for the piano. Although her chamber music works constitute a significant portion of her overall compositions, research focusing on her piano chamber music pieces is lacking. Therefore, this study introduces a comprehensive list of Tailleferre's chamber music pieces and categorizes each piece according to its performing level of difficulty. Additionally, through a detailed analysis of her <Sonata for Two Pianos>, composed in 1974, this study aims to understand her musical style and artistic world, particularly regarding form, harmony, and melody. <Sonata for Two Pianos>, rooted in the unpretentious and light musical language characteristic of the salon style popular in Parisian cafes and music halls at the time, can be seen as a multi-layered work reflecting various musical languages such as Impressionism, and Neo-classicism. This study may contribute to a better understanding of Tailleferre's musical world and aid in discovering and expanding new literature on 20th-century piano chamber music.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.413-415
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• 2021

Piano is one of the most beloved instruments in the world and is used a lot for children to learn music because it is simple to play. As a result, various products for children, such as toy pianos, were released. However, there is a lack of piano skills for music education, such as how to play the piano or read the score. To solve this problem, in this paper, we propose a game-style educational piano using Arduino. It is expected to capture fun and education at a low price by scoring points by displaying the score on the LCD screen and pressing the keyboard according to the timing of playing the note.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1296-1306
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• 2014

Recently there are many attempts that IT convergence has been studied together with very different sector like art and music. If it is possible to make a formal model with combination of engineering with strong creative sector like music, there will be some advantages to analyze its contents easily. In this study, the model has been provided to utilize music analysis and compose algorithm through the formal model research of Sonata. To this end, this study has been provided a formal model of Sonata with the Petri net model being widely used and verify the effectiveness of the proposed model on the case of Piano Sonata K. 332.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.526-528
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• 2022

In this study, through the capstone design project, an IoT based piano training system was developed after identifying problems in piano learning. The piano training system recognizes sheet music through image processing technology and checks whether the correct keyboard is struck through FFT transformation during piano practicing. By providing a visual effect and score display function using a rhythm game, it was possible to arouse interest in boring piano practice and increase the effect of piano learning.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.46 no.4
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• pp.235-239
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• 2020

Objectives: Preoperative nervousness and anxiety are frequently encountered by individuals who undergo extractions of impacted wisdom teeth. The aim of the present study is to evaluate salivary alpha amylase (sAA) level in patients for assessment of stress during third molar surgery while listening to piano music and to determine its co-relation with pain catastrophizing scale (PCS). Materials and Methods: Seven patients (four males and three females) indicated for surgical extraction of bilaterally impacted mandibular third molars were included. Pre-surgical patient assessments were completed, and three samples of saliva were collected during surgery-one at baseline, one 30 minutes after commencement of surgery, and one after suturing. Assessment was performed on both sides separately with and without piano music, and the samples were assessed for sAA level and correlated with the patient's self-reported PCS. Results: Statistically significant results were obtained in patients who underwent surgical extraction while listening to piano music (P=0.046). The correlation of sAA level with PCS was not significant. Conclusion: Music demonstrated a beneficial effect on lowering the levels of stress and anxiety that a patient exhibits during any surgical procedure, and sAA can be a useful biomarker for similar assessments.

• Proceedings of the KAIS Fall Conference
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• 2011.12a
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• pp.136-139
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• 2011

본 논문은 국내 실용음악과(Applied Music Department)에서 이루어지고 있는 피아노 교육의 한계를 짚어보고 이에 대한 개선 방안을 연구하고자 한다.

• Journal of IKEEE
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• v.23 no.1
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• pp.249-253
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• 2019

Most of music-transcription systems that have been commercialized operate based on audio information. However, these conventional systems have disadvantages of environmental dependency, equipment dependency, and time latency. This paper studied a vision-based music-transcription system that utilizes video information rather than audio information, which is a traditional method of music-transcription programs. Computer vision technology is widely used as a field for analyzing and applying information from equipment such as cameras. In this paper, we created a program to generate MIDI file which is electronic music notes by using smart-phone cameras to record the play of piano.