Browse > Article
http://dx.doi.org/10.5392/JKCA.2012.12.11.009

Automatic Music Transcription Considering Time-Varying Tempo  

Ju, Youngho (전북대학교 전자정보공학부 컴퓨터공학)
Babukaji, Baniya (전북대학교 전자정보공학부 컴퓨터공학)
Lee, Joonwhan (전북대학교 전자정보공학부 컴퓨터공학)
Publication Information
Abstract
Time-varying tempo of a song is one of the error sources for the identification of a note duration in automatic music recognition. This paper proposes an improved music transcription scheme equipped with the identification of note duration considering the time-varying tempo. In the proposed scheme the measures are found at first and the tempo, the playing time of each measure, is then estimated. The tempo is then used for resizing each IOI(Inter Onset Interval) length and considered to identify the accurate note duration, which increases the degree of correspondence to the music piece. In the experiment the proposed scheme found the accurate measure position for 14 monophonic children songs out of 16 ones recorded by men and women. Also, it achieved about 89.4% and 84.8% of the degree of matching to the original music piece for identification of note duration and pitch, respectively.
Keywords
Automatic Music Transcription; Finding Measure Position; Time-varying Tempo of Song;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Matija Marolt and Marko Privosnik, "SONIC : A System for Transcription of Piano Music," Cybernetics and Systems, Vol.33, No.6, pp.603-627, 2002.   DOI   ScienceOn
2 A. Martin, Blackboard System for Automatic Transcription of Simple Polyphonic Music, MIT Media Laboratory Perceptual Computing Section Technical Report No.385, 1996.
3 Lloyd A. Smith and H. Ian, "Signal Processing for Melody Transcription," 19th Australian Computer Science Communications, pp.301-307, 1996.
4 Anssi. P. Klapuri, "Automatic Transcription of Music," Stockholm Music Acoustics Conference, Institute of Signal Processing, 2003.
5 Marolt, "A Connectionist Approach to Automatic Transcription of Polyphonic Piano Music," IEEE Transactions on Multimedia, Vol.6, No.3, pp.439-449, 2004.   DOI   ScienceOn
6 장준영, 퍼지적분을 이용한 곡조 인식 시스템의 설계와 구현, KAIST 석사학위논문, 1996.
7 형아영, 이준환, "SIDE를 이용한 자동 음악채보 시스템," 한국정보처리학회 논문지, 제16권, 제2호, 2009.
8 박은종, 신송이, 이준환, "단일 음원 노래에서 음표의 조합 규칙을 이용한 마디 위치 찾기", 한국콘텐츠학회, 제9권, 제10호, pp.1-12, 2009.   과학기술학회마을   DOI   ScienceOn
9 지정규, 오디오 데이터베이스의 효율적 검색을 위한 선율질의 처리기, 숭실대학교 박사학위 논문, 1998.
10 박은종, 신송이, 이준환, "단일 음원 노래에서 음표의 조합 규칙을 이용한 마디 위치 찾기", 한국콘텐츠학회, 제9권, 제10호, pp.1-12, 2009.   과학기술학회마을   DOI   ScienceOn
11 Geoffroy Peeters, "Time Variable Tempo Detction and Beat Marking," International Computer Music Association, Barcelona, Spain, 2005.
12 Kenichi Miyamoto, Hirokazu Kameoka, Haruto Takeda, Takuya Nishimoto, and Shigeki Sagayama, "Probailistic Approach to Automatic Music Transcription from Audio Signals," Proceedings of IEEE Conf. on ASSP, Vol.2, pp.II-697-700, April 2007.
13 Praat URL : http://www.praat.org.
14 Scott Shaobing Chen and P. S. Gopalakrishnan, Speaker, Environment and Channel Change Detection and Clustering via The Bayesian Information Criterion, DARPA Broadcast News Transcription and Understanding Workshop, 1998.
15 이석원, 음악음향악, 심설당, 2003.
16 한국음악지각인지학회, 음악의 지각과 인지, 음악세계, 2005.
17 NoteWorthy Composer URL: http://www.noteworthysoftware.com.