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基于混沌编码的容错性语音识别
引用本文:顾明亮,张毅锋,王太君,何振亚. 基于混沌编码的容错性语音识别[J]. 信号处理, 1998, 0(Z1)
作者姓名:顾明亮  张毅锋  王太君  何振亚
作者单位:南京东南大学
基金项目:国家攀登计划认知科学(神经网络)重大关键项目
摘    要:根据混沌编码具有联想记忆的特点,本文提出了一种基于混沌编码的语音识别新方法,该方法首先解决了语音特征矢量维数不固定难于进行混沌编码的难题,其次提出了多样本下语音信号特征的选取原则。实验结果表明,新方法对语音的缺损和噪声干扰具有较好的容错能力。

关 键 词:时间规正  温沌编码  相关检测  语音识别

Chaotic Coding Based Robust Speech Recognition
Gu Mingliang, Zhang Yifeng, Wang Taijun ,He Zhenya. Chaotic Coding Based Robust Speech Recognition[J]. Signal Processing(China), 1998, 0(Z1)
Authors:Gu Mingliang   Zhang Yifeng   Wang Taijun   He Zhenya
Abstract:According to the chaotic coding having the characteristics of associated memory this paper presents a novel chaotic coding based robust speech recognition method. The new method not only solve the problem that the speech feature vector with no fixed-dimension can not control the chaotic signal directly but also presents the principle for the selection of feature set. Experimental results showed that the new method had strong robust ability for speech with losing or noise disturbing.
Keywords:Time-warping   Chaotic coding   Correlation check   Speech recognition
本文献已被 CNKI 等数据库收录!
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