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该文件包含了清华人工神经网络电子讲稿.对初学者很有用-This file contains Tsinghua artificial neural network electronic speech. To be useful for beginners
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这是有关非线性在语音预测编码、识别等方面的应用，还有神经网络方法在语音预测编码、语音增强、识别等方面的应用，相当有用哦！-This is the non-linear prediction in speech coding, recognition and other applications, as well as neural network prediction in speech coding, speech enhancement, recognition and other appl
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bp神经网络的程序代码，可以应用于语音识别，图像识别等
-bp neural network code, can be applied to speech recognition, image recognition, etc.
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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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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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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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基于BP神经网络的语音特征信号奋力算法建模，分为神经网络的构建，训练和分类-Based speech characteristic signal BP neural network algorithm modeling struggling, into neural network construction, training and classification
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程序中选取了民歌、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。(The program selected folk songs, zither, rock and popular four different music, with BP neural network to achieve the effective classification of these four types of music.)
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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 speech feature signal classification)
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基于带动量项的BP神经网络语音识别BP neural network speech recognition based on driving quantity
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