[1]邵曦,郁青玲. 基于典型相关的音乐跨模态检索[J].计算机技术与发展,2015,25(07):76-81.
　SHAO Xi,YU Qing-ling. Cross-modal Music Retrieval Based on Canonical Correlation[J].,2015,25(07):76-81.
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 基于典型相关的音乐跨模态检索()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年07期
页码:
76-81
栏目:
智能、算法、系统工程
出版日期:
2015-07-10

文章信息/Info

Title:
 Cross-modal Music Retrieval Based on Canonical Correlation
文章编号:
1673-629X（2015)07-0076-06
作者:
 邵曦; 郁青玲
 南京邮电大学 通信与信息工程学院
Author(s):
 SHAO Xi; YU Qing-ling
关键词:
 ; 典型相关性; 跨模态检索; 异构性; 子空间映射; 权重分配
Keywords:
 ; canonical correlation; cross-modal retrieval; heterogeneous; subspace mapping; weight allocation
分类号:
TP31
文献标志码:
A
摘要:
 针对现有的音乐检索研究大多集中在对单一模态的数据查询的现状，文中提出了一种基于典型相关的跨模态音乐检索方法。首先分析了文本特征和音乐内容特征潜在的统计关系，通过子空间映射解决了不同模态之间的特征异构问题，再根据欧氏距离的大小衡量两者的相关性，从而实现了音乐跨模态检索，并且引入查询相关的概念通过权重分配优化了检索结果，进一步提高了检索准确率。文中选取了Rock、emotion、jazz、folk、dancing5种音乐风格语义的文本-音频作为实验数据库，结果表明文中提出的跨模态音乐检索方法能取得较好的效果。
Abstract:
 Existing music retrieval methods are mostly designed for data of single modality. Aiming at this situation,propose a cross-mo-dal music retrieval approach based on canonical correlation. First,the underlying statistical relationship is analyzed between the text fea-tures and music content features,then subspace mapping is used to solve the heterogeneous problem between different feature vectors,at last Euclidean distance can be employed to measure the cross-media similarity,in order to further improve the retrieval accuracy,and weight allocation is used to optimize search results by introducing the concept of query correlated. The experimental results show that the proposed method in this paper can get a better result in music retrieval.

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更新日期/Last Update: 2015-09-07