DocumentCode :
683744
Title :
Detecting Musical Genre Borders for Multi-label Genre Classification
Author :
Nakamura, Hajime ; Hung-Hsuan Huang ; Kawagoe, Kyoji
Author_Institution :
Ritsumeikan Univ., Kusatsu, Japan
fYear :
2013
fDate :
9-11 Dec. 2013
Firstpage :
532
Lastpage :
533
Abstract :
In this paper, we propose a novel method to detect music genre borders for the music genre classification. The music genre classification is getting more important because music is influenced by an increasing amount of different musical styles. A general approach to classify music genres is a single genre labeling that usually gives the meaning of inherent stylistic elements to a musical piece. However this gives ambiguity in case of a music piece having multiple genres. To solve the problem, we consider separating the multi-label classification task into the single-label genre classification task. We propose a novel method to detect music genre borders for multi-label genre classification. The proposed method can find borderlines of different genres in music. Moreover, it is strongly expected to realize the multi-label genre classification to apply the single-label genre classification to each detected music segment.
Keywords :
audio signal processing; music; signal classification; signal detection; inherent stylistic elements; multilabel genre classification; music genre classification; music segment detection; musical genre border detection; musical styles; single-label genre classification task; Bars; Educational institutions; Instruments; Labeling; Mel frequency cepstral coefficient; Multimedia communication; genre border; music genre classification; music structure analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia (ISM), 2013 IEEE International Symposium on
Conference_Location :
Anaheim, CA
Print_ISBN :
978-0-7695-5140-1
Type :
conf
DOI :
10.1109/ISM.2013.108
Filename :
6746860
Link To Document :
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