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一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
,Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importa
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Peter Howell, Stevie Sackin, and Kazan Glenn
Development of a Two-Stage Procedure for the Automatic Recognition of Dysfluencies in the Speech of Children Who Stutter: II. ANN Recognition of Repetitions and Prolongations With Supplied Word Segment M
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ANN for Speech Recognition How to info
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Speech Recognition based on a-Speech Recognition based on ann
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关于人工神经网络算法在语音识别中应用的一系列文章-a series of articles about the artificial neural network algorithm applied in speech recognition
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speech recognition by A-speech recognition by ANN
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就目前三种主流的语音识别算法：动态时间规(DTW)、隐马尔科夫模型(HMM)和人工神经网络(ANN)。分析它们的原理、特点及实现过程，对 DTW 的语音识别进行实验，通过对比分析三种算法的特点，结合本文研究的实际情况，选择 DTW 作为研究的重点，提出利用遗传算法对其进行改进。
-The three mainstream speech recognition algorithms: Dynamic Time Regulations (DTW), hidden Markov model (HM
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基于ANN人工神经网络在语音识别上的应用-Application of ANN artificial neural network in speech recognition based on
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