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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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完整的基于HMM的语音识别系统,关于神经网络控制,采用的是通用的平面波展开法。- Complete HMM-based speech recognition system, On neural network control, Using common plane wave expansion method.
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关于神经网络控制,FIR 底通和带通滤波器和IIR 底通和带通滤波器,完整的基于HMM的语音识别系统。- On neural network control, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Complete HMM-based speech recognition system.
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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,插值与拟合,解方程,数据分析。- Is a two hidden layer back propagation neural network, Complete HMM-based speech recognition system, Interpolation and fitting, solution of equations, data analysis.
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语音信号分类。
本案例针对四类语音信号,用BP神经网络的方法进行分类。-Speech signal classification.
This case for four types of speech signals, using BP neural network method for classification.
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完整的基于HMM的语音识别系统,BP神经网络用于函数拟合与模式识别,借鉴了主成分分析算法(PCA)。- Complete HMM-based speech recognition system, BP neural network function fitting and pattern recognition, It draws on principal component analysis algorithm (PCA).
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IDW距离反比加权方法,BP神经网络的整个训练过程,完整的基于HMM的语音识别系统。- IDW inverse distance weighting method, The entire training process BP neural network, Complete HMM-based speech recognition system.
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关于神经网络控制,一个计算声子晶体结构的一维传递矩阵法,完整的基于HMM的语音识别系统。- On neural network control, A one-dimensional transfer matrix method to calculate the phonon crystal structure, Complete HMM-based speech recognition system.
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ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块,基于人工神经网络的常用数字信号调制,语音信号的采集与处理,数字信号处理课设。- ofdm system simulation including 16qam modulation fft windowing modules plus cp, The commonly used digital signal modulation based on artificial neural network, Acquisition and P
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完整的基于HMM的语音识别系统,BP神经网络的整个训练过程,意信号卷积的运算,并且绘制图象。- Complete HMM-based speech recognition system, The entire training process BP neural network, Convolution operation is intended to signal and image rendering.
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一个MATLAB代码,关于BP神经网络的数据分类,本例可用于语音特征信号分类-A MATLAB code, the data classification of BP neural network, the present embodiment may be used to classify the speech characteristic signal
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语音信号的采集与处理,数字信号处理课设,是一种双隐层反向传播神经网络,本程序的性能已经达到较高水平。- Acquisition and Processing of the speech signal, digital signal processing class-based, Is a two hidden layer back propagation neural network, The performance of the program has reached a high level
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使用BP神经网络对语音特征信号进行分类和识别-Characteristics of speech signal using BP neural network for classification and recognition
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