计算机工程2012，Vol.38Issue(3)：172-175,4.DOI:10.3969/j.issn.1000-3428.2012.03.058
区分性锚模型应用于语种识别的研究
Research on Discriminative Anchor Model Applied in Language Identification
摘要
Abstract
In the area of language identification, the system recognition performance is affected by the speaker variability in the test utterance. In this paper, the anchor model which can realize speaker-independent is studied in the language identification. Based on its application principle, the algorithm of training language discriminative anchor model which combines the fast discriminative training algorithm is proposed. Experimental results indicate that the anchor model can improve the performance of the system and the language discriminative anchor model can further reduce the error of the system.关键词
语种识别/锚模型/快速区分性训练/高斯混合模型超矢量/支持向量机/说话人特征矢量Key words
language identification/ anchor model/ fast discriminative training/ Gaussian Mixture Model(GMM) super vector/ Support Vector Machine (SVM)/ speaker characterization vector分类
信息技术与安全科学引用本文复制引用
聂智良,张兴明,杨镇西,张丽..区分性锚模型应用于语种识别的研究[J].计算机工程,2012,38(3):172-175,4.基金项目
国家“863”计划基金资助项目(2008AA011002) （2008AA011002）
