首页> 外文会议>2010 2nd International Conference on e-Business and Information System Security (EBISS2010) >Weighted Distortion Measure on Standard Deviation for VQ-Based Speaker Identification
【24h】

Weighted Distortion Measure on Standard Deviation for VQ-Based Speaker Identification

机译:基于VQ的说话人识别的标准偏差的加权失真度量

获取原文
获取原文并翻译 | 示例

摘要

Vector Quantization is an important tool of speaker identification system. In this paper, we introduce a new speaker identification system based on improved VQ algorithmu00026;#65292;which takes the code vectors in traditional algorithm and those standard deviation as a new codebook to represent the particular speaker model in training phase.Based on the standard deviation.we redefine a weigthed distortion which are able to reflect the sample distribution character of each code vector .Experimental results show that the identification rate and robustness of this method is better than the one of the reference method.
机译:矢量量化是说话人识别系统的重要工具。本文介绍了一种基于改进的VQ算法的新型说话人识别系统,以传统算法中的代码向量和标准差作为新的代码本来代表训练阶段特定的说话人模型。实验结果表明,该方法的识别率和鲁棒性均优于参考方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号