Lu Dong (董璐)  

Ph.D. Student

Department of Computer Science and Engineering
University at Buffalo, SUNY (UB)
Davis Hall, Buffalo, New York, U.S.A

Email: dongludeeplearning@gmail.com



Exploring the General Melodic Characteristics of XinTianYou Folk Songs

Abstract

This paper aims to analyze one style of Chinese traditional folk song named Shaanxi XinTianYou. By analyzing the melody of this folksong genre, we make a clear, vivid, and thus easily approachable presentation of the cultural characteristics and significance of XinTianYou. Comparing to previous researches which mainly focus on mathematics and statistics, we further consider the musical continuity. Our insight is that, the combination of intervals reflects the characteristics of the music style. The significant pattern of the combinations can be used as representations of XinTianYou. We build a MIDI database, based on which the most representative combination of intervals are extracted. We propose to use N-Apriori algorithm which counts the frequent patterns of melody. Considering both the significance and similarity between music pieces, we provide a multi-layer melody perception clustering algorithm which uses both the melodic direction and the melodic value. The experiment results are analyzed based on both pattern mining techniques and music theories. For evaluation, we asked experts in this field to mark our results and proved that our results are consistent with the expert’s intuition.


Last Updated on Feb, 2023