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BP神经网络的数据分类-语音特征信号分类-BP Neural Network for Data Classification- Classification of speech feature signals
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BP神经网络在语音特征信号分类中的应用 供大家学习-BP neural network in speech signal classification of features for everyone to learn
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基于人工神经网络的语音识别，运用了从语音中提取出的LPC参数与人工神经网络结合进行识别，使用matlab调试-Artificial neural network based speech recognition, the use of speech extracted from the LPC parameters and artificial neural network to identify, debug using matlab
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Isolated speech recognition using FFT for features extraction and Artificial Neural Network with Back Propagation for classificassion and recognition.
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神经网络的 语音识别 初学者可以看看
希望对大家有帮助-Speech recognition neural network can look at beginners
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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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训练数据预测数据，BP神经网络分类语音特征信号-Training data projections, BP neural network classification of speech signal characteristics
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BP神经网络的数据分类-语音特征信号分类-BP neural network data classification- classification of speech signal characteristics
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基于bp神经网络的孤立词识别，有训练好的鼓励词，是语音识别的基础。-Isolated word recognition based on bp neural network trained to encourage word speech recognition.
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its the ann project that is used in speech processing. ann refers to artificial neural network.
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神经网络的数据分类 语音特征信号分类 保证可用-Neural network classification of speech feature data signal classification to ensure availability
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Matlab神经网络算法中的BP神经网络算法在语音特征信号分类应用的源程序。-BP neural network algorithm in the Matlab neural network algorithm source signal classification applications in speech features.
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汉语语音情感识别的研究。可以借鉴一下，与程序很好用-基于神经网络的汉语语音情感识别的研究。很好的描述了人工神经网络的方面-Neural Network Based Speech Emotion Recognition in Chinese studies. Good descr iption of the artificial neural network connection
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基于神经网络的语言情感识别系统，可以识别人讲话时是喜，怒，高兴还是平静，具有较高的识别率。-The language of emotion recognition system based on neural network can recognize human speech is happy, angry, happy or calm, has a high recognition rate.
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本程序能改实现语音识别，是基于神经网络的语音识别-Program to achieve the BP neural network-based speech recognition, contains the original data
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通过神经网络实现语音的信号分类识别。BP神经网络的数据分类-语音特征信号分类-Through the neural network to achieve the classification and recognition of speech signals. BP neural network data classification- voice feature signal classification
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这个文件是基于matlab的BP神经网络对于语音信号的分辨的编程-This file is based on the matlab the BP neural network programming for the resolution of the speech signal
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调信息在汉语语音识别中具有非常重要的意义。采用支持向量机对连续汉语连续语音进行声调识别实
验，首先采用基于Teager能量算子和过零率的两级判别策略对连续语音进行浊音段提取，然后建立了适合于支持向
量机分类模型的等维声调特征向量。使用6个二类SVM模型对非特定人汉语普通话的4种声调进行分类识别，与
BP神经网络相比，支持向量杌具有更高的识别率。-Tone is an essential component for word formation in Chinese languages
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本程序用BP神经网络，对基于压缩感知观测后的语音序列进行建模预测-BP neural network used in this procedure, the speech sequence based on compressed sensing measurements after modeling prediction
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Bp人工神经网络语音分类。 利用人工神经网络对输入语音信号进行翻译-Bp artificial neural network voice classification. Translation of the input speech signal using artificial neural networks
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