The extraction of popular music chorus via structural content analysis

Chia Hung Yeh*, Hung Hsuan Lin

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Automatic chorus extraction from popular music is an interesting topic. Chorus extraction facilitates a user to quickly and efficiently preview selections from a large music database and also an essential preprocessing step for further purposes such as indexing and search. In this paper, a framework for extracting chorus from popular music based on structural content analysis is proposed. The repetitive structure is characterized via music color representation called colormap. A colormap of a song based on mapping different frequency bands to color space is used to find repeating patterns. This representation efficiently reveals the relationship of music structure. MFCCs (Mel Frequency Cepstral Coefficients) are employed to identify chorus and verse of a song according the structure information and music domain knowledge. Experimental results show that the performance of the proposed method over a sizable popular song database.

原文英語
主出版物標題Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
頁面2532-2536
頁數5
DOIs
出版狀態已發佈 - 2007
對外發佈
事件33rd Annual Conference of the IEEE Industrial Electronics Society, IECON - Taipei, 臺灣
持續時間: 2007 十一月 52007 十一月 8

出版系列

名字IECON Proceedings (Industrial Electronics Conference)

其他

其他33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
國家/地區臺灣
城市Taipei
期間2007/11/052007/11/08

ASJC Scopus subject areas

  • 控制與系統工程
  • 電氣與電子工程

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