首页> 外国专利> Method for compensating probability density function, method and apparatus for speech recognition thereby

Method for compensating probability density function, method and apparatus for speech recognition thereby

机译:补偿概率密度函数的方法,用于语音识别的方法和装置

摘要

Hidden Markov probability density function modelreul compensation method for speech recognition method and apparatus is disclosed accordingly . Probability density function compensation method of the present invention comprises the steps of learning the model having a plurality of probability density function is the probability to recognize the voice signal , when extracting feature vectors from the speech signal, and input the feature vector to increase ; When the learning is complete , obtaining a global distributed by averaging the distribution of each of the probability density function ; Calculating a compensation factor using a global distribution ; And applying each of the probability density function and the global variance , using the compensation factor characterized in that it comprises the step of compensating each of the probability density function by compensating for the global distribution .
机译:公开了一种用于语音识别的隐马尔可夫概率密度函数模型补偿方法和装置。本发明的概率密度函数补偿方法包括以下步骤:学习具有多个概率密度函数的模型,即当从语音信号中提取特征向量并输入要增加的特征向量时,识别语音信号的概率;当学习完成后,通过平均每个概率密度函数的分布获得全局分布;使用全局分布计算补偿因子;并应用每个概率密度函数和全局方差,使用补偿因子,其特征是它包括通过补偿全局分布来补偿每个概率密度函数的步骤。

著录项

  • 公开/公告号KR100612843B1

    专利类型

  • 公开/公告日2006-08-14

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20040013815

  • 发明设计人 한익상;정상배;전유진;

    申请日2004-02-28

  • 分类号G10L15/14;

  • 国家 KR

  • 入库时间 2022-08-21 21:23:12

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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