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用于SOM神经网络语音识别的自适应局部搜索算法
引用本文:胡光锐 吴硕. 用于SOM神经网络语音识别的自适应局部搜索算法[J]. 上海交通大学学报, 1996, 30(7): 130-133
作者姓名:胡光锐 吴硕
作者单位:电子工程系
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:采用一种基于自组织特征映射(SOM)神经网络和隐马尔柯夫模型(HMM)法结合的语音识别方法.根据语音信号的相关性,提出了一种自适应局部搜索算法.结果表明,该算法相对于全搜索算法而言,计算量小而又不降低识别率

关 键 词:语音识别;语音处理;信号处理

An Adaptive Local Searching Algorithm for Speech Recognition Using SOM Neural Network
Hu Guangrui Wu Suo Zhu Jinbo. An Adaptive Local Searching Algorithm for Speech Recognition Using SOM Neural Network[J]. Journal of Shanghai Jiaotong University, 1996, 30(7): 130-133
Authors:Hu Guangrui Wu Suo Zhu Jinbo
Affiliation:Department of Electronic Engineering
Abstract:A new scheme of speech recognition, which is based on the SOM/HMM principles, has been provided in the paper. An adaptive local searching algorithm is given accor ding to the correlations of speech signals. Experimental results show that the new scheme has smaller computation but has no recognition rate impairments as compared with the global searching algorithm.
Keywords:speech recognition  speech processing  signal processing
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