Principal Component Feature for ANN-Based Speech Recognition

被引：0
|
作者：
顾明亮 [1 ]
王太君 [1 ]
史笑兴 [1 ]
何振亚 [1 ]
机构：
[1] 东南大学无线电工程系
来源：
Journal of Southeast University(English Edition) | 1998年 / 02期
关键词：
主分量分析; 特征提取; 语音识别;
D O I：
暂无
中图分类号：
TN912.34,TP18 [];
学科分类号：
0711 ;
摘要：
利用函数逼近原理和主成份分析方法，提出了一种可用于解决语音信号时间规正和简化神经网络结构的语音信号主分量特征．该特征的提取过程模拟了人耳听觉系统的信息感知过程．实验结果表明基于该特征的语音识别系统可以取得比一般的ＣＤＨＭＭ和ＧＭＤＳ方法更好的识别效果
引用
收藏
页码：13 / 18
页数：6
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