DocumentCode
2832767
Title
Comparison of Hanson Intervallic Representations for Music Information Retrieval
Author
Serrano, Johnny F. ; Inesta, José M.
Author_Institution
Departamento de Lenguajes y Sistemas Informaticos, Univ. de Alicante
fYear
2006
fDate
Nov. 2006
Firstpage
147
Lastpage
153
Abstract
The melodic similarity is an important concept to consider in music information retrieval. Among the possible applications a number of content-based systems may be developed for copyright management, plagiarism detection, computer-aided composition, etc., and the intervallic analysis is an essential tool for these applications. There exist several techniques exposed in melodic similarity that use diverse statistical and probabilistic analysis. The objective in this work is to establish a text words equivalent to musical notation using three representations based on simple intervallic relationships, rhythmics and durations, and to evaluate a textual information retrieval technique applied to these representations, as well as to propose changes to improve the system precision and recall
Keywords
content-based retrieval; information retrieval; music; Hanson intervallic representations; content-based systems; melodic similarity; music information retrieval; Application software; Content management; Data mining; Encoding; Entropy; Hidden Markov models; Information analysis; Music information retrieval; Pattern analysis; Plagiarism;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, 2006. CIC '06. 15th International Conference on
Conference_Location
Mexico City
Print_ISBN
0-7695-2708-6
Type
conf
DOI
10.1109/CIC.2006.31
Filename
4023802
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