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基于线性均方误差估值的LPC距离量度
引用本文:谢锦辉,黄载禄,万发贯. 基于线性均方误差估值的LPC距离量度[J]. 华中科技大学学报(自然科学版), 1990, 0(4)
作者姓名:谢锦辉  黄载禄  万发贯
作者单位:华中理工大学电子与信息工程系(谢锦辉,黄载禄),华中理工大学电子与信息工程系(万发贯)
摘    要:本文从LPC系数的统计特性出发,基于线性均方误差估值的思想,提出了一种用于语音识别的新的LPC距离量度——LMSE距离.在一个IBM-PC机语音处理系统和一个VAX-11/750机语音处理系统上,做了大量孤立词识别实俭,证实了这种距离的可行性.文中还将它与著名的Itakura距离进行了比较.

关 键 词:语音识别  语音分析  距离量度  线性均方误差

An LPC Distance Measure Based on Linear Mean Square Error Estimation
Xie Jinhui Huang Zailu Wan Faguan. An LPC Distance Measure Based on Linear Mean Square Error Estimation[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 1990, 0(4)
Authors:Xie Jinhui Huang Zailu Wan Faguan
Affiliation:Xie Jinhui Huang Zailu Wan Faguan
Abstract:According to the statistical properties of LPC coefficients a new LPC distance measure, the LMSE distance, used in speech recognition and based on the idea of the linear mean square error estimation is proposed. Experimental results obtained on an IBM-PC speech processing system and a VAX-11/750 system are reported. It is shown that the performance of the distance proposed is good. The LMSE distance has also been compared with the famous Itakura distance.
Keywords:Speech recognition  Speech analysis  Distance measure  Linear mean square error estimation  
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