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这是一个关于神经网络的ppt文档,相当不错的哦!-This is a speech ppt about Neural network
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It s a neural segreatory that recognize people and speech with these. If a people is not recognized Rubycon ask to create a training with thi new people for a next recognition.
Rubycon use the Microsoft Speech sdk, gann neural network and other lib
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人工神经网络技术入门讲稿Introduction to artificial neural network speech-Introduction to artificial neural network speech
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Automatic Speech Recognition with Neural Network
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基于遗传算法和小波神经网络的语音识别系统,此系统识别率可以到较高-Based on genetic algorithm and neural network speech recognition system, this system can be to a higher recognition rate
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bp神经网络在语音识别中的应用,同时利用Matlab进行仿真得到结果-bp neural network in speech recognition applications, while the results obtained using Matlab simulation
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HMM与小波神经网络的语音识别系统研究,此系统得到了验证-HMM and wavelet neural network speech recognition system, this system has been verified
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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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BP神经网络用于数据分类-对语音特征信号进行分类-BP neural network for data classification of speech feature signals classification
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BP神经网络的数据分类-语音特征信号分类,6个文件,四个为数据文件-BP neural network data classification- speech feature signals classification, 6 files, four for data files
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..基于带动量项的BP神经网络语音识别,希望对大家有用-Based on the momentum BP neural network speech recognition
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基于主成分分析法和反向传输神经网络的语音情感识别
摘要——语音信号中包含着丰富的情感信息,尤其是语义信息。快乐、愤怒、厌恶、恐惧、悲伤,这五种基本情感是经过一个受认可的框架讨论和公认的,这个框架包括主成分分析法和BP神经网络。通过PCA从43种候选参数中筛选出11种参数作为确定某种特定的情感类别的标准。实验采用两种神经网络模型,One Class One Network 和 All Class One Network,并进行比较。实验结果表明,其可靠性达52 ~62 ,这说明用这种框架来识别
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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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小波神经网络的语音识别测试程序源源码,希望对大家有用!
-Wavelet neural network speech recognition test program source code, we want to!
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案例-BP神经网络的数据分类语音特征信号分类-Case- bp neural network data classification- speech characteristic signal classification
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神经网络的数据分类-语音特征信号分类
有数据可以运行-Neural network data classification- speech characteristic signal classification
Data can be run
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基于带动量项的BP神经网络语音识别,可作为练习的参考-speech recognition based on BP neural network
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BP神经网络的数据分类。利用BP神经网络语音特征信号分类-BP neural network data classification. BP neural network speech features signal classification
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2012年人大的龙星计划中香港大学杨强教授演讲的关于神经网络模型的ppt资料-Lone Star plans of the National People' s Congress in 2012, the University of Hong Kong, Professor Yang Jiang' s speech on the neural network model ppt data
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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- speech feature signal classification
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