• 한국정보통신학회논문지
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• 제13권10호
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• pp.1997-2003
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• 2009

음악 연구에 따른 컴퓨터의 역할이 점차 중요한 비중을 차지함에 따라 효과적인 악보 인식과 효율적인 악보의 편집 및 수정 방법이 요구된다. 기존의 수동 입력 방식에서는 악보를 부정확하게 입력하여 수정하는 경우에는 작업시간이 많이 소요되며, 각 수정 프로그램에서 만든 악보는 특정 프로그램에서만 재수정이 가능하다는 단점이 있다. 본 논문에서는 이러한 단점을 보완하기 위하여 이미 작성 되어있는 악보들을 자동으로 인식하는 방법을 제안한다. 제안된 악보 인식 방법은 수평 히스토그램을 이용하여 악보 이미지의 오선을 제거한 후, 4 방향 윤곽선 추적 알고리즘을 적용하여 잡음을 제거하고 Grassfire 알고리즘을 적응하여 악보 구성 기호들을 추출한다. 추출된 악보 구성 기호들은 hierarchical ART2 알고리즘을 적용하여 인식된다. 제안된 악보 인식 방법 의 성능을 평가하기 위해 100장의 악보 영상을 대상으로 실험한 결과, 제시된 hierarchical ART2 알고리즘을 이용한 악보 영상의 인식 방법이 효율적임을 확인하였다.

• Food Science and Biotechnology
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• 제14권6호
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• pp.738-742
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• 2005

We developed a musical composition and performing method for the dynamic expression of food taste, to replace the static expression obtained from a numerical sensory score and linguistic method. The musical score was composed using cognitive food sensory data gathered while eating potato chips via a computer equipped with a sound card and a master keyboard, as well as Cakewalk 9.0, Goldwave 5.0, and Windows Media Player. The music score included four lines, one representing sensory data and three reflecting three layers of human consciousness. Different time units were applied by incorporating different repetition cycles for the relevant consciousness layers. The musical scores of individual subjects differed in terms of the score pattern and its sound. The music representing food taste was played by four instruments and showed different sound and acoustic frequency patterns for each individual subject during the consumption of potato chips. The musical expression method was applied to analyze the individual taste characteristics in the cognition of food.

• 한국정보통신학회논문지
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• 제17권5호
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• pp.1064-1069
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• 2013

본 논문에서는 SOM과 개선된 ART-1을 이용하여 악보를 인식하는 방법을 제안한다. 악보 인식을 위해 스캔된 악보 이미지를 호프 변환, Otsu's 이진화를 원본 이미지에 적용하고, 히스토그램 분석을 통해 구분된 작은악절에서 오선을 제거하여 악보의 음표 성분을 추출할 수 있는 이미지 전처리 단계를 수행한다. 오선이 제거된 작은악절은 레이블링을 이용하여 음표 성분을 분리한다. 추출된 음표들은 SOM 알고리즘을 적용하여 일정한 크기로 정규화하고, 정규화된 음표 정보들을 개선된 ART-I 알고리즘을 적용하여 학습과 인식한다. 제안된 방법을 적용하여 음표 인식 실험을 한 결과, 제안된 방법이 음표 인식에 효율적임을 확인하였다.

• 한국산학기술학회논문지
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• 제11권5호
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• pp.1640-1645
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• 2010

오케스트라 연주에서 각 악기의 연주자가 연주중에 직접 악보를 넘겨야 하는 불편함이 있다. 따라서 본 연구에서는 자동으로 악보를 넘길 수 있는 전자악보 시스템을 Mini-ITX와 LCD Panel을 이용하여 악보대에 일체화 시켜서 제작하였고, 신뢰성 있는 TCP/IP 소켓통신을 사용하여 메시지 및 데이터 전송을 구현하였다. 본 논문에서는 클라이언트에서 자동으로 악보를 표현하는 기능을 구현하였고, 서버 프로그램에서는 악기별로 클라이언트의 개별적 관리가 가능하도록 악보 동기화 기능 및 수동기능을 추가하였다. 그리고, 하나의 악단을 Access파일 하나로 관리 할 수 있기 때문에 악단별 관리가 수월하다. 이와 더불어 TCP/IP 방식의 신뢰성있는 통신을 선택하여, 데이터를 전송하는데 있어서 손실이 생기는 상황을 막아준다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.113-116
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• 2001

이 논문에서는 음악을 시계열 자료로 해석하고 시계열 자료의 퍼지 로직에 기반한 모델링에 대해 설명한다. 음악은 음악적 기호들인 보표, 악센트, 오선, 박자표, 음표, 쉼표 등등과 같은 유한개의 음악적 표기법들로 구성된다. 악보는 음악 해석에 필요한 리듬, 멜로디, 화음등과 달은 다양한 특성을 표현하기 위해 음악적 기호들을 사용한다. 본 논문에서는 각각의 시간에서 소리나는 음들의 비트와 높낮이로 인식한다는 관점에서 음악에서의 비트와 음의 높낮이를 시계열 자료로 표현하는 것이 가능하다. 악보의 규정된 특징들을 바탕으로, 악보를 시계열 자료로 표현하고 시계열을 예측하기 위해 퍼지 로직에 기반한 모델로 구성한다. 제안한 방법의 타당성으로 보이기 위해 몇 가지 예를 제시한다.

• 방송공학회논문지
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• 제26권7호
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• pp.838-843
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• 2021

This paper presents an algorithm for effective retrieval of score information to an input score image. The originality of the proposed algorithm is that it is designed to be robust to recognition errors by an OMR (Optical Music Recognition), while existing methods such as pitch histogram requires error induced OMR result be corrected before retrieval process. This approach helps people to retrieve score without training on music score for error correction. OMR takes a score image as input, recognizes musical symbols, and produces structural symbolic notation of the score as output, for example, in MusicXML format. Among the musical symbols on a score, it is observed that filled noteheads are rarely detected with errors with its simple black filled round shape for OMR processing. Barlines that separate measures also strong to OMR errors with its long uniform length vertical line characteristic. The proposed algorithm consists of a descriptor for a score and a similarity measure between a query score and a reference score. The descriptor is based on note-count, the number of filled noteheads in a measure. Each part of a score is represented by a sequence of note-count numbers. The descriptor is an n-gram sequence of the note-count sequence. Simulation results show that the proposed algorithm works successfully to a certain degree in score image-based retrieval for an erroneous OMR output.

• 대한가정학회지
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• 제37권7호
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• pp.83-94
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• 1999

The purpose of this study was to explore musical development of 3- to S-year-old children and their musical home environment. The subjects were one hundred ninety-four children and their mothers enrolled in four kindergartens in Seoul. Each child sang the birthday song with peers in a birthday play setting. It was audiotaped for the children to sing the song. Questionnaire of musical home environment developed by the researchers was used for the mothers. The children's rhythm and pitch development were coded by the scoring categories of Project Spectrum(Krechevsky, 1994). The data were analyzed by t-test, ANOVA, Scheffe, and Pearson correlation. The results of this study were as follows: Firstly, there was no a significant difference in the children's rhythm development among three age-groups as well as between boys and girls. Among rhythm subcategories, the unit of note was ranked in the highest score and the pulse the next. Secondly, there were significant differences in children's pitch development among three age-groups and between boys and girls. The older children significantly achieved higher scores than the younger. Among pitch subcategories, the contour was ranked in the highest score and the interval the next. Thirdly, the children's musical development and their physical home environment related to music were correlated positively. The children's pitch development was significantly related to the mothers' musical attitude and the children's rhythm development to the mothers' educational levels.

• Journal of Information Processing Systems
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• 제20권1호
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• pp.13-23
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• 2024

Music brings pleasure and relaxation to people. Therefore, it is necessary to classify musical genres based on scenes. Identifying favorite musical genres from massive music data is a time-consuming and laborious task. Recent studies have suggested that machine learning algorithms are effective in distinguishing between various musical genres. However, meeting the actual requirements in terms of accuracy or timeliness is challenging. In this study, a hybrid machine learning model that combines a deep residual auto-encoder (DRAE) and support vector machine (SVM) for musical genre recognition was proposed. Eight manually extracted features from the Mel-frequency cepstral coefficients (MFCC) were employed in the preprocessing stage as the hybrid music data source. During the training stage, DRAE was employed to extract feature maps, which were then used as input for the SVM classifier. The experimental results indicated that this method achieved a 91.54% F1-score and 91.58% top-1 accuracy, outperforming existing approaches. This novel approach leverages deep architecture and conventional machine learning algorithms and provides a new horizon for musical genre classification tasks.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1992년도 하계학술대회 논문집 A
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• pp.427-430
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• 1992

In this paper, we proposed an algorithm for the musical note recognition. Firstly, a given bit-mapped music score image is converted to a set of individual note pattern images via vertical projection. Then, the pitch of a note is determinal by comparison in the note-head position with the reference five-lines. Also, the length of a note is found via leader clustering with a set of normalized note patterns. Finally, a datafile to play the music is obtained using the pitch and length of musical notes. Experimental results with a simple musical score image show that the proposed scheme is performed well.

• 셀메드
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• 제14권10호
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• pp.12.1-12.13
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• 2024

This study investigated the psychological effects of the creative music fairy tale 'I am a music creator' education program, which was implemented as the convergence educational program of the Seocho Innovation Education District in 2021 for a total of 8 weeks for elementary school students, on Musical Interest, Self-Efficacy, and Self-Esteem. Before verifying the effects after conducting the education program for a total of 8 weeks, a homogeneity verification of the group composition was conducted through a pre-measurement, and it was confirmed that the composition by gender and grade was homogeneous. The results of this study are as follows. First, the results of the pre-test/post-test by research subject showed that the post-test scores in Musical-Interest and Self-Efficacy were slightly higher than the pre-test scores, but there was no significant difference. When Self-Esteem was considered, There was a significant difference, and the post-test scores showed a higher average than the pre-test scores. Second, the results of the pre-test/post-test by gender of the research subject showed that the post-test scores in Musical-Interest, Self-Efficacy, and Self-Esteem for male students were slightly higher than the pre-test scores, but there was no significant difference. The post-test scores in Musical-Interest and Self-Efficacy for female students were slightly higher than the pre-test scores, but there was no real significant difference. Self-Esteem showed a significant difference, and the post-test scores showed a higher average than the pre-test scores. Third, the results of the pre-test/post-test by grade of the research subject showed that the post-test scores in Musical-Interest, Self-Efficacy, and Self-Esteem for second graders were slightly higher than the pretest scores, but there was no real significant difference. In the 3rd grade, there was a significant difference in the sub-factors of Musical-Interest, interest in music classes, and Self-Esteem, and the post-score showed a higher average than the pre-score. In the 4th grade, the post-scores were slightly higher than the pre-scores in Musical-Interest, Self-Efficacy, and Self-Esteem, but there was no significant difference. Through these results, it was confirmed that the integrated music activity approach has a positive influence on elementary school students' Musical-Interest, Self-Efficacy, and Self-Esteem, which are formed in the process of growth and development.