电子学报2017，Vol.45Issue(5)：1064-1071,8.DOI:10.3969/j.issn.0372-2112.2017.05.006
基于凝聚信息瓶颈的音频事件聚类方法
Audio Events Clustering Based on Agglomerative Information Bottleneck
摘要
Abstract
In order to further improve the performance of methods for audio events clustering,this paper proposes a method for audio events clustering based on the theory of agglomerative information bottleneck.First,the principles and derivations of information bottleneck are briefly introduced.Then,the proposed method is described in detail,including the definitions of source variables,relevance variables and destination variables,the steps of the proposed method and the analyses of main computational loads of all methods.The proposed method and two kinds of previous methods (including the method based on spectral clustering,and the method based on both Bayesian information criterion and agglomerative hierarchical clustering) are evaluated on the experimental data extracted from two different corpora of audio events.The experimental results show that the proposed method obtains higher K values (geometric mean of average clustering purity and average audio purity) and runs faster than the previous methods under several experimental conditions.关键词
凝聚信息瓶颈/音频事件聚类/音频内容分析Key words
agglomerative information bottleneck/audio events clustering/audio content analysis分类
信息技术与安全科学引用本文复制引用
李艳雄,王琴,张雪,邹领..基于凝聚信息瓶颈的音频事件聚类方法[J].电子学报,2017,45(5):1064-1071,8.基金项目
国家自然科学基金(No.61101160) （No.61101160）
中央高校基本科研业务费专项资金重点项目(No.2015ZZ102) （No.2015ZZ102）
广州市珠江科技新星专项(No.2013J2200070) （No.2013J2200070）
