Title :
Music Motive Extraction Through Hanson Intervallic Analysis
Author :
Serrano, Johnny F. ; Inesta, JoséM
Author_Institution :
Dept. Lenguajes y Sistemas Informaticos, Univ. de Alicante
Abstract :
Music motive extraction is an important concept to consider in music information retrieval. Among the possible applications are the creations of music databases that need of indexing tools and access in a dynamic way, copyright management and plagiarism detection, computer-aided composition, etc. This paper presents an unsupervised method for automatic music motive extraction from symbolic sources, using an intervallic analysis. The results are evaluated quantitatively using a melodic similarity technique
Keywords :
information retrieval; music; Hanson intervallic analysis; automatic music motive extraction; melodic similarity; music information retrieval; symbolic sources; Application software; Data mining; Databases; Frequency; Indexing; Marine vehicles; Music information retrieval; Pattern analysis; Plagiarism; Signal resolution;
Conference_Titel :
Computing, 2006. CIC '06. 15th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7695-2708-6
DOI :
10.1109/CIC.2006.48
