인공지능 알고리즘 거문고 산조의 실시간 연주 및 정간보 생성

• 영문명: Real-Time A.I. Algorithm Geomungo Sanjo Player with Jungganbo
• 발행기관: 한국음악교육공학회
• 저자명: 이미경(Mikyung Lee)
• 간행물 정보: 『음악교육공학』제7호, 73~85쪽, 전체 13쪽
• 주제분류: 사회과학 > 교육학
• 파일형태: PDF
• 발행일자: 2008.08.31

영문 초록

Every country has her own culture and it s different from others even though the science is same. With continuous development of computer in 20th century, one of the things that many people has been thinking of, and wanted to implement is a computer-music interface. Since the properties of artificial intelligence such as the random process and non-linearity of the network structure are well matched to those of music which is non-deterministic, coincidental and probabilistic, many computer programs concerning music and sound have been developed. These programs are, however, for much part, only about western music and instruments, but rarely focus on Korean traditional music. Since the view of sound and music between the western and the Korean traditional is very different, it is hard to adopt existing methods to analyze and play Korean traditional music. This thesis is on an Artificial Intelligence System for Real-time A.I. Algorithm Geomungo Sanjo performance and simultaneous visualization of Jungganbo. It is based on Max/msp tools. Geomungo is a Korean traditional string instrument and Jungganbo is a Korean traditional score in Chosun Dynasty. Sanjo is a non-fixed form of Geomungo play, and its non-deterministic and non-patterned style is modeled with random process of A.I. Since Sanjo has large variation in playing, it was hard to be recorded with Jungganbo. Proposed program, however, solved this kind of problem by visualizing corresponding Jungganbo simultaneously.

목차

Ⅰ. 시작하면서

Ⅱ. 거문고의 특성

Ⅲ. 인공지능과 음악적 인터페이스

Ⅳ. 정간보와 실시간 인공지능 거문고 연주

V. 정간보 구현

Ⅵ. 정간보와 거문고 샘플의 매칭

Ⅶ. 인공지능 알고리즘 거문고 산조의 실시간 연주프로그램의 교육적 가치와 활용도

Ⅷ. 끝맺으면서