Detecting Musical Genre Borders for Multi-label Genre Classification

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.

[1]  Jakob Abeßer,et al.  From Multi-Labeling to Multi-Domain-Labeling: A Novel Two-Dimensional Approach to Music Genre Classification , 2009, ISMIR.

[2]  Olivier Lartillot MIRTEMPO: TEMPO ESTIMATION THROUGH ADVANCED FRAME-BY-FRAME PEAKS TRACKING , 2010 .

[3]  Anssi Klapuri,et al.  Music Structure Analysis Using a Probabilistic Fitness Measure and a Greedy Search Algorithm , 2009, IEEE Transactions on Audio, Speech, and Language Processing.

[4]  Jonathan Foote,et al.  Automatic audio segmentation using a measure of audio novelty , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).