An Improved Feature Extraction Method in Speaker Identification

摘要：

With the rapid development of information and computer technology, speaker recognition technology has obtained more and more research and application. In this paper, we put forward a dynamic fuzzy clustering algorithm based on principal components analysis— PCA-DFC. In order to reduce the characteristic dimension and computational complexity, principle component analysis method was used to process front speech signal. Through dynamic fuzzy clustering, different categories can be

关键词： principal component analysis dynamic fuzzy clustering speaker recognition optimal threshold determination F- statistics

作者: Gan Zhi-gang

作者单位: College of Information & Electronic Engineering Zhejiang Gongshang University, Hangzhou 310018, China

会议类型: 国际会议

会议名称: 2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 第三届智能人机系统与控制论国际会议 IHMSC 2011

会议地点: 杭州

会议语种:英文

页码: 453-457

在线出版日期: 2011-08-26（万方平台首次上网日期，不代表论文的发表时间）