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
Link To Document :
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