DocumentCode
683724
Title
Structural Segmentation of Music Based on Repeated Harmonies
Author
De Haas, W. Bas ; Volk, Anja ; Wiering, Frans
Author_Institution
Dept. of Inf. & Comput. Sci., Utrecht Univ., Utrecht, Netherlands
fYear
2013
fDate
9-11 Dec. 2013
Firstpage
255
Lastpage
258
Abstract
In this paper we present a simple, yet powerful method for deriving the structural segmentation of a musical piece based on repetitions in chord sequences, called FORM. Repetition in harmony is a fundamental factor in constituting musical form. However, repeated pattern discovery in music still remains an open problem, and it has not been addressed before in chord sequences. FORM relies on a suffix tree based algorithm to find repeated patterns in symbolic chord sequences that are either provided by machine transcriptions or musical experts. This novel approach complements other segmentation methods, which generally use a self-distance matrix based on other musical features describing timbre, instrumentation, rhythm, or melody. We evaluate the segmentation quality of FORM on 649 popular songs, and show that FORM outperforms two baseline approaches. With FORM we explore new ways of exploiting musical repetition for structural segmentation, yielding a flexible and practical algorithm, and a better understanding of musical repetition.
Keywords
feature extraction; matrix algebra; music; trees (mathematics); FORM; instrumentation; machine transcriptions; melody; musical experts; musical features; musical form; musical piece; musical repetition; repeated harmonies; repeated pattern discovery; rhythm; segmentation methods; segmentation quality; self-distance matrix; songs; structural segmentation; suffix tree based algorithm; symbolic chord sequences; timbre; Harmonic analysis; Instruments; Multimedia communication; Parallel processing; Rhythm; Timbre; Harmony; Repetition; Structural Segmentation; Suffix Trees;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location
Anaheim, CA
Print_ISBN
978-0-7695-5140-1
Type
conf
DOI
10.1109/ISM.2013.48
Filename
6746800
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