DocumentCode :
3737419
Title :
Method to evaluate similarity of music by music features
Author :
Shu Tamura;Shin-ichi Ito;Momoyo Ito;Minoru Fukumi
Author_Institution :
Tokushima University
fYear :
2015
Firstpage :
2574
Lastpage :
2577
Abstract :
This paper proposes a method to evaluate similarity of music by music features. A music feature extraction method consists of three phases; chord progression pattern detection, rhythm pattern detection and musical instrument information extraction. The music feature extraction is carried out by using frequency analysis. In the chord progression pattern, we employ three evaluation criteria. In the rhythm pattern detection, we evaluate beat per minute(BPM) values. In the musical instrument information, we confirm results of musical instrument information extraction visually. In order to show the effectiveness of the proposed method, we conduct computer simulations of music features extraction.
Keywords :
"Instruments","Rhythm","Feature extraction","Data mining","Information retrieval","Continuous wavelet transforms"
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
Type :
conf
DOI :
10.1109/IECON.2015.7392490
Filename :
7392490
Link To Document :
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