计算机应用与软件2017，Vol.34Issue(4)：165-168,242,5.DOI:10.3969/j.issn.1000-386x.2017.04.028
用说话人相似度i-vector的非负值矩阵分解说话人聚类
A SPEAKER CLUSTERING METHOD BASED ON NON-NEGATIVE MATRIX FACTORIZATION AND I-VECTOR OF SPEAKER SIMILARITY
摘要
Abstract
Based on Bayesian or full Bayesian criterion, the speaker clustering or recognition method is mainly used to repeat the similarity measure of the whole utterance segment, and then combine the similar utterance segment to realize speaker clustering.In this method, if the number of utterance segment is increased, the combined computation time is longer and the system real-time property is worse.Moreover, the speaker model is established by GMM.The reliability of GMM is reduced when the speech time is short, which affects the accuracy of speaker clustering.Aiming at the above problems, this paper proposes a high-accuracy fast speaker clustering method based on non-negative matrix factorization and i-vector of speaker similarity.关键词
说话人分割及聚类/非负值矩阵分解/i-vector/GMM/电话语音Key words
Speaker segmentation and clustering/Non-negative matrix factorization/I-vector/GMM/Telephone speech分类
信息技术与安全科学引用本文复制引用
哈尔肯别克·木哈西,钟珞,达瓦·伊德木草..用说话人相似度i-vector的非负值矩阵分解说话人聚类[J].计算机应用与软件,2017,34(4):165-168,242,5.基金项目
国家自然科学基金项目(61163030). （61163030）
