• International Journal of Contents
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• 제10권4호
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• pp.63-68
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• 2014

In this paper, we propose a smart system that can optically recognize a music score within a document and can play the music after recognition. Many historic handwritten documents have now been digitalized. Converting images of a music score within documents into digital files is particularly difficult and requires considerable resources because a music score consists of a 2D structure with both staff lines and symbols. The proposed system takes an input image using a mobile device equipped with a camera module, and the image is optimized via preprocessing. Binarization, music sheet correction, staff line recognition, vertical line detection, note recognition, and symbol recognition processing are then applied, and a music file is generated in an XML format. The Music XML file is recorded as digital information, and based on that file, we can modify the result, logically correct errors, and finally generate a MIDI file. Our system reduces misrecognition, and a wider range of music score can be recognized because we have implemented distortion correction and vertical line detection. We show that the proposed method is practical, and that is has potential for wide application through an experiment with a variety of music scores.

• 한국의류학회지
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• 제48권2호
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• pp.211-232
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• 2024

This study examines the morphological and expressive aspects of fashion and its connection to music at Korean music festivals. The research involves a theoretical review and a case study analyzing fashion and music at rock, EDM, hip-hop, and jazz festivals in Korea from 2019 to 2023. The process of selecting fashion cases was reviewed by experts in the field of fashion, and expert focus group interviews were used. The study found that while fashion and music differ in terms of their fundamental morphological components of sensory media, they share features in terms of sensory harmony between their components. In terms of expressive aspects of fashion, it was found that the subject and object of expression are the same for the artist and for the audience. Both music and fashion have sensory transmission and communication between the subject and the audience, and both transmit personal and social meaning. Using these commonalities as indicators of relevance, a relevance evaluation was conducted. As a result of the evaluation, popular music festival fashion and music were interpreted as having a high degree of relevance in terms of expressing emotions and tastes, providing a sense of belonging to a community, and conveying cultural meaning.

• 인간행동과 음악연구
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• 제11권1호
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• pp.39-62
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• 2014

본 연구는 GIM 음악치료사의 GIM 치료에서의 음악선택에 대하여 고찰하고자 하는 것이다. 학술지 데이터베이스 7개와 음악치료 전문학술지 9개를 대상으로 1964년부터 2013년까지의 연구를 검색하였다. 검색어는 "Guided Imagery and Music", "GIM", "Helen Bonny", "Bonny method", "Music and Imagery", "BMGIM"였다. 초기 검색된 모든 연구의 초록을 확인하여 1차 선정된 126개의 연구에서 음악선택이 명시된 12개의 연구를 최종 선택하여 내러티브 문헌 고찰을 하였다. 12개의 연구에 대한 문헌고찰 결과 GIM 치료사들은 내담자의 이슈와 관련된 기분, 정서, 느낌의 특색(quality), 치료에서 다루어지는 내담자의 주제(theme)와 연관성이 있는 음악을 선택하였다. 이중 특히 5개의 연구에서는 내담자의 상태(state)와 연관 지을 수 있는 음악을 여러 음악요소를 분석적으로 고려하여 선택함으로써 보다 개연성을 가진 음악선택의 이유를 확인할 수 있었다. 문헌고찰을 위해 선택된 126개의 연구 대부분은 사례연구로 연구자 고유의 관점으로 질적으로 기술하고 있어 연구들 간의 공통점을 도출하는 것에는 한계가 있었다. 본 문헌고찰 연구를 통해 음악중심의 심층 음악심리치료기법인 GIM에서 음악선택에 대한 임상적 근거 마련을 위해 보다 기초적인 연구가 필요함을 확인할 수 있었다.

• 인간행동과 음악연구
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• 제7권2호
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• pp.47-63
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• 2010

본 연구는 음악치료 교과과정의 효율성을 알아보기 위해 4개의 대학원의 음악치료학과 학생들 100명을 대상으로 설문조사를 실시하였다. 대상자들이 가장 필요성을 높이 인식하고 중요하다고 생각하는 과목은 음악치료기술(23.2%)로 조사되었다. 대학원 진학 전 학부전공이 음악전공인 학생들과 음악 외 전공인 학생들의 음악기술영역에 대한 역량 및 자신감이 다르게 나타났으며, 실습의 단계가 가장 높은 학생들의 임상에 대한 자신감이 높은 반면 인턴쉽 과정에서 다소 떨어지는 것으로 나타났다. 상담 및 심리학 관련 과목의 개설에 대한 욕구가 가장 높았으며(19.7%) '음악치료사로서의 전문성'을 가장 중요시 여기는 것으로 나타났다(51.8%). 이러한 결과들은 음악치료학과 대학원생들이 인식하는 음악치료 교과과정의 효율성에 대한 정보를 제공하고, 기초 지식과 역량에 맞는 효율적인 교과과정을 제공하기 위한 필요성과 중요성을 제시하는 데 그 의의를 갖는다.

• Physical Therapy Rehabilitation Science
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• 제10권1호
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• pp.48-54
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• 2021

Objective: The purpose of this study is to investigate the effect of exercise programs according to various music tempo on pain, posture, and function of automobile parts manufacturing workers. Design: Two-group pretest-posttest design. Methods: This study was an exercise program tailored to the prevention and treatment of musculoskeletal diseases were performed for a total of 4 weeks and 3 times a week for 60 minutes. The exercise program consisted of customized exercises according to the characteristics of the subject's musculoskeletal system. The subject provided music during the exercise program, and the group who applied the fast tempo music listened to the music of 120~140 bpm, and the group who applied the slow tempo music listened to the music of the low tempo of 60~80 bpm. Results: Significant differences were found in pain and physical function before and after the fast tempo music group and the slow tempo music group (p<0.01). However, there was a significant difference in posture characteristics only in the fast tempo music group (p<0.01). In terms of pain, physical function, and posture characteristics, the fast tempo music group showed significant improvement compared to the slow music tempo group (p<0.05). Conclusions: A customized exercise program using fast-tempo music and slow-tempo music to workers in the automobile parts manufacturing industry, significant differences in pain, physical function, and posture characteristics applied with fast-tempo music were found. In the future, applying an exercise program with a fast tempo is expected to help improve musculoskeletal disorders.

• 디지털융복합연구
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• 제20권3호
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• pp.399-406
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• 2022

본 연구의 목적은 케이팝 음악을 분석하여 그 속에서 월드 뮤직의 사용 형태를 찾아내고 이를 통해 케이팝 음악의 발전 가능성을 높이는 것에 그 목적이 있다. 연구 방법으로는 먼저 월드뮤직요소인 푸에르토리코의 레게톤과 자메이카의 토스팅, 인도음악의 선율을 알아볼 것이다. 그리고 효연의 와 현아&던의 <핑퐁> 두 곡을 리듬적 요소와 선율적 요소로 분석하고 그 속에서 월드 뮤직의 사용 형태를 찾아볼 것 이다. 연구 결과, 리듬적으로 푸에르토리코의 레게톤에서 파생된 뎀보우 리듬의 유형을 보였고, 선율적으로는 자메이카의 토스팅의 형태와 아랍음악의 선율을 따르고 있음을 알 수 있었다. 본 연구는 케이팝 음악에서 사용된 월드뮤직의 사용 형태를 분석하여 향후 케이팝의 발전 가능성과 다양한 방향성을 제시하는 것에 의의를 갖는다. 다양한 월드 뮤직과 케이팝의 융합을 통해 케이팝 음악이 조금 더 폭넓은 대중의 지지를 받는 문화로써 자리 잡기를 기대해 본다.

• The Journal of the Acoustical Society of Korea
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• 제27권2E호
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• pp.51-56
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• 2008

In this paper, we propose an effective method for music summarization which automatically extracts a representative part of the music by using signal processing technology. Proposed method uses a vector quantization technique to extract several segments which can be regarded as the most important contents in the music. In general, there is a repetitive pattern in music, and human usually recognizes the most important or catchy tune from the repetitive pattern. Thus the repetition which is extracted using segment similarity is considered to express a music summary. The segments extracted are again combined to generate a complete music summary. Experiments show the proposed method captures the main theme of the music more effectively than conventional methods. The experimental results also show that the proposed method could be used for real-time application since the processing time in generating music summary is much faster than other methods.

• 말소리와 음성과학
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• 제10권3호
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• pp.19-29
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• 2018

We propose to use independent component analysis (ICA) and deep neural network (DNN) to detect music sections in broadcast drama contents. Drama contents mainly comprise silence, noise, speech, music, and mixed (speech+music) sections. The silence section is detected by signal activity detection. To detect the music section, we train noise, speech, music, and mixed models with DNN. In computer experiments, we used the MUSAN corpus for training the acoustic model, and conducted an experiment using 3 hours' worth of Korean drama contents. As the mixed section includes music signals, it was regarded as a music section. The segmentation error rate (SER) of music section detection was observed to be 19.0%. In addition, when stereo mixed signals were separated into music signals using ICA, the SER was reduced to 11.8%.

• 한국멀티미디어학회논문지
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• 제19권5호
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• pp.826-836
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• 2016

Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

• Journal of Information Technology Applications and Management
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• 제24권3호
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• pp.63-72
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• 2017

The purpose of this study is to investigate the relationship between application attractiveness and loyalty to mobile music applications. The application attractiveness is operationalized into four dimensions: richness of music contents, music app design quality, music app functionality, and promotion. The hypotheses are postulated and tested using a sample of 370 student respondents from Henan Polytechnic University and Henan Institute of Technology, China. The result shows that there is a positive correlation between loyalty and three application attractiveness aspects: richness of music contents, music app design quality and music app functionality. Based on the results of this study, the research put forward constructive suggestions about improving mobile music application loyalty. Finally, several conclusions, managerial suggestions, limitations and future research are proposed.