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基于带动量项的BP神经网络语音识别,含有数据-Based on the driving amount of BP neural network to speech recognition
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运用BP神经网络进行分类识别，具体运用到语音特征信号进行分类。-BP neural network is used for classification and recognition, and the specific application to speech feature signal classification.
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MATLAB智能算法案例分析—— BP神经网络的数据分类-语音特征信号分类-MATLAB intelligent algorithm Case Study- BP neural network data classification- the speech characteristic signal classification
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卷积神经网络是人工神经网络的一种，已成为当前语音分析和图像识别领域的研究热点。它的权值共享网络结构使之更类似于生物神经网络，降低了网络模型的复杂度，减少了权值的数量。自己可已加入数据，和修改梯度。-Convolutional neural network is an artificial neural network, it has become a research hotspot speech analysis and image recognition field. It weights
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RNNLIB可以用来做语音识别、手写字符识别。由大牛Alex Graves编写，专门做RNN、LSTM的研究。他的主页是http://www.cs.toronto.edu/~graves/-RNNLIB is a recurrent neural network library for sequence labelling
problems, such as speech and handwriting recognition.
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语音信号的采集与处理，数字信号处理课设，多姿态，多角度，有不同光照,关于神经网络控制。- Acquisition and Processing of the speech signal, digital signal processing class-based, Much posture, multi-angle, have different light, On neural network control.
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语音信号的采集与处理，数字信号处理课设，关于神经网络控制，采用的是脉冲对消法。- Acquisition and Processing of the speech signal, digital signal processing class-based, On neural network control, It uses a pulse of consumer law.
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采用matlab实现BP神经网络的数据分类-语音特征信号分类-BP neural network using matlab realize data classification- the speech characteristic signal classification
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BP神经网络的数据分类，提取语音特征信号分类-Data classification BP neural network, extracting speech characteristic signal classification
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BP神经网络 ，用于遥感卫星图像处理，语音合成等领域-BP neural network for remote sensing satellite image processing, speech synthesis and other fields
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BP神经网络相关算法用于二分类处理问题，不棒性比较好-BP neural network for speech recognition and pattern recognition, image recognition, etc.
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BP神经网络用于函数拟合与模式识别，语音信号的采集与处理，数字信号处理课设，脉冲响应的相关分析算法并检验。- BP neural network function fitting and pattern recognition, Acquisition and Processing of the speech signal, digital signal processing class-based, Related impulse response analysis algorithm and
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用matlab实现的BP神经网络，比较基础，对已有的语音信号进行分类，留了500个作为检验-Using matlab to achieve the BP neural network basis of comparison, the existing classification of the speech signal, leaving a 500 as a test
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该案例使用BP神经网络对语音特征信号进行分类-This case classify speech characteristic signal using the BP neural network
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是一种双隐层反向传播神经网络，完整的基于HMM的语音识别系统，光纤陀螺输出误差的allan方差分析。- Is a two hidden layer back propagation neural network, Complete HMM-based speech recognition system, allan FOG output error variance analysis.
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BP神经网络的数据分类——语音特征信号的分类-BP neural network data classification- classification of the speech characteristic signal
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BP神经网络的整个训练过程,实现了对10个数字音的识别，语音信号的采集与处理，数字信号处理课设。- The entire training process BP neural network, To achieve the recognition of 10 digital sound, Acquisition and Processing of the speech signal, digital signal processing class-based.
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BP神经网络，用于语音信号的识别和分类，效果不错。-BP neural network for identification and classification of the speech signal, the effect is good.
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MATLAB神经网络30例书课后附的案例源程序 BP神经网络的数据分类-语音特征信号分类-MATLAB neural network 30 cases of after-school book case attached source BP neural network data classification- the speech characteristic signal classification
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语音信号的采集与处理，数字信号处理课设，关于神经网络控制，经典的灰度共生矩阵纹理计算方法。- Acquisition and Processing of the speech signal, digital signal processing class-based, On neural network control, Classic GLCM texture calculation method.
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