A NEW MECHANISM OF SIMILARITY EVALUATION FOR CONTENT-BASED MUSIC INFORMATION RETRIEVAL

摘要：

Content-based music information retrieval (CBMIR) has rapidly become a research focus for the areas of computer science, information retrieval, signal processing, audio processing and pattern recognition. Feature selection, representation and matching mechanism play the crucial roles in CBMIR. A new mechanism of similarity comparison has been proposed in this paper. Melody feature is represented in pitch interval based on physics and perception characteristic of music, which averts the effect by gross differences in key or tempo. The Longest matched subsequences (LMS) algorithm is proposed to obtain the most matched portions from two music pieces, according to local similarity between elements. A compound criterion of similarity evaluation is established, with both matched proportion and distance of matched subsequences being considered. The feasibility and validity of the model is verified by the experiment with a music feature database containing hundreds of songs.

关键词： content-based music retrieval query by humming feature representation similarity evaluation

作者: Zhuoran Chen Xingce Wang Guoxing Zhao Mingquan Zhou

作者单位: College of Information Science and Technology, Beijing Normal University, Beijing, China

会议类型: 国际会议

会议名称: 2010 IEEE Youth Conference on Information,Computing and Telecommunications(2010 IEEE青年信息、计算和通信技术大会)

会议地点: 北京

会议语种:英文

页码: 238-242

在线出版日期: 2010-11-28（万方平台首次上网日期，不代表论文的发表时间）