Title
Polyphonic Music Retrieval By Local Edition Of Quotiented Sequences
Abstract
Melody is an important property for the perceptual description of Western musical pieces. A lot of applications rely on the comparison of two melodies. Several existing techniques assume a monophonic context or extracts a monophonic melody from polyphonic pieces. In this paper, we evaluate the contribution of a method which considers a polyphonic context. We propose an algorithm that computes a similarity measure between polyphonic musical sequences. All the notes are taken into account, even if they sound at the same time. Melodies are represented by quotiented sequences. A quotiented sequence is a sequence graph defined with an additional equivalent relation on its vertices and such that the quotient graph is also a sequence graph. The core of the method relies on an adaptation of edit-distance metrics, regularly applied in bioinformatic context. These methods are currently being used to evaluate the similarity between a monophonic query and a database of polyphonic musical pieces. First experiments show that the adaptation to polyphony does not degrade the quality of the algorithm with monophonic musical pieces. Furthermore, the results of experiments with polyphonic pieces are promising, even if they show sonic limitations.
Year
DOI
Venue
2007
10.1109/CBMI.2007.385393
2007 INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING, PROCEEDINGS
Keywords
Field
DocType
pattern analysis,music,sequences,dna,multiple signal classification,earth,edit distance,rhythm,database,information retrieval,equivalence relation,graph theory
Graph theory,Melody,Graph,Music information retrieval,Pattern recognition,Similarity measure,Computer science,Musical,Speech recognition,Artificial intelligence,Polyphony,Quotient graph
Conference
ISSN
Citations 
PageRank 
1949-3983
7
0.77
References 
Authors
13
2
Name
Order
Citations
PageRank
Pierre Hanna111020.53
Pascal Ferraro27711.54