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Volumn , Issue , 2009, Pages 256-260

Music segmentation with genetic algorithms

Author keywords

Genetic algorithms; Heuristic optimization; Music information retrieval; Music segmentation; Pattern recognition

Indexed keywords

HEURISTIC OPTIMIZATION; KEY ISSUES; LARGE MUSIC COLLECTIONS; LYRIC ALIGNMENT; MUSIC INFORMATION RETRIEVAL; MUSIC SEGMENTATION; MUSIC SEGMENTATIONS; MUSIC SUMMARIZATION; MUSICAL STRUCTURES; STRUCTURAL INFORMATION;

EID: 73649088688     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2009.16     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 1
    • 68149099322 scopus 로고    scopus 로고
    • Automatic audio segmentation: Segment boundary and structure detection in popular music,
    • Master's thesis, Vienna University of Technology, Vienna, Austria
    • E. Peiszer, "Automatic audio segmentation: Segment boundary and structure detection in popular music," Master's thesis, Vienna University of Technology, Vienna, Austria, 2007.
    • (2007)
    • Peiszer, E.1
  • 3
    • 33846253707 scopus 로고    scopus 로고
    • Multiple scale music segmentation using rhythm, timbre, and harmony
    • K. Jensen, "Multiple scale music segmentation using rhythm, timbre, and harmony," EURASIP Journal on Applied Signal Processing, vol. 2007, no. 1, 2007.
    • (2007) EURASIP Journal on Applied Signal Processing , vol.2007 , Issue.1
    • Jensen, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.