Content-based retrieval for music collections

Yuen Hsien Tseng*

*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

76 引文 斯高帕斯(Scopus)

摘要

A content-based retrieval model for tackling the mismatch problems specific to music data is proposed and implemented. The system uses a pitch profile encoding for queries in any key and an n-note indexing method for approximate matching in sub-linear time. A distinct function that extracts key melodies for query suggestion is developed. The Web-based system provides flexible user interface for query formulation and result browsing. Users can search the system by a short sequence of notes, by uploading a file created by singing, or by clicking suggested key melodies without input. Experiments show that the pitch profile encoding and a 3-note indexing are able to overcome the key mismatch problem and the random errors caused by pitch error, note deletion and insertion. The use of extracted key melodies improves performance over direct search of the music database. For the type of burst mismatch, a query expansion approach is applied.

原文英語
主出版物標題Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999
發行者Association for Computing Machinery, Inc
頁面176-182
頁數7
ISBN(電子)1581130961, 9781581130966
DOIs
出版狀態已發佈 - 1999 八月 1
對外發佈
事件22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 - Berkeley, 美国
持續時間: 1999 八月 151999 八月 19

出版系列

名字Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999

其他

其他22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999
國家/地區美国
城市Berkeley
期間1999/08/151999/08/19

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計
  • 資訊系統

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