Effective music retrieval by sequential Pattern-Based alignment

Ja Hwung Su*, Shao Yu Fu, Vincent Shin-Mu Tseng

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

Due to the rapid growth of music data, how to effectively and efficiently retrieve the interested music piece has been an attractive issue in recent years. In traditional music retrieval systems, the most popular way is to retrieve the music piece by matching query terms and music profiles like file name, artist and so on. However, this type of music retrieval systems suffers from problem of semantic gap. To aim at this problem, in this paper, we propose a new method named Pattern-Based Music Retrieval named PBMR that exploits temporal continuities of acoustical content to represent the musical features. That is, a music piece in this work is first converted into a pattern string by two-stage clustering. Thereupon the similarity between two music pattern strings is calculated by alignment-like algorithm. The experimental evaluations show that our proposed perceptual patterns are sensitive for listening and temporal continuities are helpful to identifying the similarities between music pieces.

原文English
主出版物標題Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
頁面131-136
頁數6
DOIs
出版狀態Published - 1 十二月 2012
事件2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012 - Tainan, Taiwan
持續時間: 16 十一月 201218 十一月 2012

出版系列

名字Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012

Conference

Conference2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
國家Taiwan
城市Tainan
期間16/11/1218/11/12

指紋 深入研究「Effective music retrieval by sequential Pattern-Based alignment」主題。共同形成了獨特的指紋。

引用此