Cover Song Identification by Sequence Alignment Algorithms

摘要：

Content-based music analysis has drawn much attention due to the rapidly growing digital music market. This paper describes a method that can be used to effectively identify cover songs. A cover song is a song that preserves only the crucial melody of its reference song but different in some other acoustic properties. Hence, the beat/chromasynchronous chromagram, which is insensitive to the variation of the timber or rhythm of songs but sensitive to the melody, is chosen. The key transposition is achieved by cyclically shifting the chromatic domain of the chromagram. By using the Hidden Markov Model (HMM) to obtain the time sequences of songs, the system is made even more robust Similar structure or length between the cover songs and its reference are not necessary by the Smith-Waterman Alignment Algorithm.

关键词： Cvoersong HiddenMakrovModel SmithWaterman Algrortihm

作者: Chih-Li Wang Qian Zhong Szu-Ying Wang Vwani Roychowdhury

作者单位: Electrical Engineering, UCLA Department of Music, NHCUE

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 187-191

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）