以主题为基础的音乐结构性分析摘要.PDF

樂 樂 樂 領樂 樂樂 樂樂 論 樂 樂樂 樂樂 了樂 樂 樂利 來樂 樂 樂 料律 律略 利 Non-trivial [17] 來略落 略落利 Stein 來 列 利 來律精 MIDI樂利 來樂 i 落 Precision Recall 不 度 度來 率 率65% ii Theme-Based Music Structural Analysis Abstract Music segmentation is one of the important issues in music analysis. Music segmentation can be utilized for music structure analysis, music browsing, content-based music retrieval, and music summarization. In this theis, we proposed a music segmentation method based on the music theme to provide users the capability to browse music segments by theme. Motives, the concepts of the composer, are the basic elements of music themes. Music themes were constructed by motives. In order to segment music by themes, we have to discover motives. Most motives repeated in the music by some motivic treatment rules. Therefore, motives can be discovered by these rules. We proposed the theme segmentation method. There are four steps. Firstly, we extract main melody from original music. In the second step, rough segments are generated from main melody by mining non-trivial repeating patterns. Then, motives are detected from rough segments. We modify the mining algorithm for discovering frequent patterns by applying motivic treatment rules proposed by Stein. Finally, we segment main melody based on the generated motives. Moreover, a system for segmentation of music in MIDI format was implemented. Concerning the effectiveness evaluation of music segmentation,