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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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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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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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matlab开发环境下的BP神经网络处理语音识别问题,可执行-matlab development environment BP neural network processing speech recognition problem, executable
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《MATLAB神经网络30个案例分析》中的第一个例子,案例1 BP神经网络的数据分类-语音特征信号分类。希望对大家有用!
-" MATLAB neural network 30 case studies" in the first example, case 1 BP neural network data classification- speech feature signal classification. I hope useful!
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BP神经网络的数据分类———语音特征信号分类
本案例选取了民歌、古筝、摇滚和流行四类不同音乐,用BP神经网络实现对这四类音乐
的有效分类。-Data speech characteristic signal classification of BP neural network, selects the guzheng, folk, rock and pop four different types of music, the realization of the four types
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bp神经网络,分类,语音识别,matlab-BP neural network, classification, speech recognition, matlab
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Data classification BP neural network - MATLAB source speech characteristic signal classification-Data classification BP neural network- MATLAB source speech characteristic signal classification
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Matlab code for neural network(ART) : Principles derived an analysis of experimental literatures in vision, speech, cortical
development, and reinforcement learning, including attentional blocking and cognitive-emotional
interactions, led to the
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案例1 BP神经网络的数据分类-语音特征信号分类(Case 1 BP neural network data classification speech feature signal classification)
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BP神经网络的数据分类——语音特征信号分类(Data classification of BP neural networks -- Classification of speech characteristic signals)
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BP神经网络的数据分类——语音特征信号分类(Data classification of BP neural networks -- Classification of speech characteristic signals)
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MATLAB 代码
第1章 BP神经网络的数据分类——语音特征信号分类
第2章 BP神经网络的非线性系统建模——非线性函数拟合
第3章 遗传算法优化BP神经网络——非线性函数拟合
第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优
第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模
第6章 PID神经元网络解耦控制算法——多变量系统控制
第7章 RBF网络的回归--非线性函数回归的实现
....等58章(MATLAB code
The first
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使用BP神经网络的数据分类-语音特征信号分类(Data classification using BP neural networks -- speech feature signal classification)
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BP神经网络的数据分类——语音特征信号分类(Data Classification of BP Neural Network - Classification of Speech Characteristic Signals)
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This Matlab program implements the cochannel speech separation algorithm Yi Jiang, D. L. Wang, et al. (2014), "Binaural Classification for Reverberant Speech Segregation Using Deep
Neural Networks," .
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This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs). This toolbox is composed by Jitong Chen, based on an earlier version written by Yuxuan Wang. The toolbox is further improved by Yuz
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一种在matlab平台上运行的语音情感识别方法基于神经网络,(Speech emotion recognition method neural network)
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BP神经网络的数据分类——语音特征信号分类,matlab(Data classification of BP neural network -- speech feature signal classification)
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BP神经网络基本原理概述:这种网络模型利用误差反向传播训练算法模型,能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题,它的特点是信号前向传播、误差反向传播,简称BP(Back Propagation)神经网络。BP学习算法的基本原理是梯度最快下降法,即通过调整权值使网络总误差最小,在信号前向传播阶段,输入信号经输入层处理再经隐含层处理最后传向输出层处理;在误差反向传播阶段,将输出层输出的信号值与期望输出信号值比较得到误差,若误差较大则把误差信号传回隐含层直至输入层,在各层神经元中使用
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