计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (10): 180-182.

• 图形、图像、模式识别 • 上一篇    下一篇

组合特征和二级判断模型相结合的说话人识别

李战明，林 娟，陈若珠   

  1. 兰州理工大学 电气工程与信息工程学院，兰州 730050
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-04-01 发布日期:2011-04-01

Speaker recognition method using combined features extraction and two-stage decision model

LI Zhanming，LIN Juan，CHEN Ruozhu   

  1. College of Electrical and Information Engineering，Lanzhou University of Technology，Lanzhou 730050，China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-04-01 Published:2011-04-01

PDF

摘要： 针对目前说话人识别中个性化的特征提取以及假冒说话人的问题，提出一种组合特征提取和二级判断模型相结合的说话人识别方法。在特征提取阶段，采用MFCC倒谱特征、Delta_ Delta特征与平均幅度差法提取的基音周期相结合进行组合特征提取；在识别阶段，采用得分规整后的得分值与一个统一的阈值比较，将一部分假冒说话人排除后，再结合二级判断模型进行识别。实验结果证明该方法有效提高了识别率。

关键词: 说话人识别, 组合特征提取, 得分规整, 二级判断模型

Abstract: Aimed at the problems that personalized feature extraction and impostor enter in speaker recognition，this paper proposes a speaker recognition method using combined features extraction and two-stage decision model.In the feature extraction stage，it uses combination of feature extraction combined with MFCC（Mel Frequency Cepstrum Coefficient） cepstrum feature，Delta_Delta feature and pitch extracting based on average amplitude difference method；in the recognition stage，it uses the score after score normalization compared with the unified threshold，and eliminates some impostor enter then combines two-stage decision model.Experimental results demonstrate the method improves the recognition rate.

Key words: speaker recognition, combined features extraction, score normalization, two-stage decision model

京ICP备13024262号-1
Copyright © 《计算机工程与应用》编辑部
技术支持：北京玛格泰克科技发展有限公司
总访问量
今日访问
在线人数