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多层前向感知机汉语孤立数码语音识别
引用本文:钟林,刘加,刘润生.多层前向感知机汉语孤立数码语音识别[J].电路与系统学报,2000,5(2):82-86.
作者姓名:钟林  刘加  刘润生
作者单位:清华大学电子工程系,北京,100084
基金项目:国家自然科学基金项目!(69772020),国家863项目!(863-512-9805-10)支持。
摘    要:本文从模板匹配的角度研究了多层前向感知机(MLP)在汉语孤立数目字语音识别中的应用,针对训练样本数受限的情况提出了新的训练方法,研究了语音固化、特征提取、学习算法和策略诸方面问题。对特定人和非特定人汉语孤立数目字语音识别分别达至了95.7%和93.0%(无拒识)的识别率。

关 键 词:多层前向感知机  汉语数码语音识别  模板匹配
文章编号:1007-0249(2000)02-0082-05
修稿时间:1998年11月23日

Multi-layer Perceptron for Isolated Mandarin Vocal Number Recognition
ZHONG Lin,LIU Jia,LIU Run-sheng.Multi-layer Perceptron for Isolated Mandarin Vocal Number Recognition[J].Journal of Circuits and Systems,2000,5(2):82-86.
Authors:ZHONG Lin  LIU Jia  LIU Run-sheng
Abstract:Multi-layer Perceptron (MLP) for isolated Mandarin vocal number recognition is studied from the perspective of template matching. A new training method is proposed for cases with very limited training samples. Research was conducted on such aspects as overcoming the dynamic characteristic of speech, speech feature extraction, training algorithms and strategies etc. Recognition accuracy (without rejection) of 95.7% for speaker dependent case and of 93.0% for speaker independent case has been achieved.
Keywords:Multi-layer Perceptron  Mandarin digit speech recognition  Template matchiX
本文献已被 CNKI 维普 万方数据 等数据库收录!
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