Description: 利用BP神经网络进行字符识别的系统源码，能进行有效数字字符识别。-BP neural network Character Recognition system source code, can be effective digital character recognition. Platform: |
Size: 1024 |
Author:包芳 |
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Description: 这是一个人脸识别系统，其中详细的给出了人脸识别软件的开发过程，应用MATLAB编程实现，是一个不可多得的好软件。-This is a face recognition system, which gives a detailed Face Recognition software development process. MATLAB programming is a very good software. Platform: |
Size: 1531904 |
Author:lijianjun |
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Description: 这个文档对想用DSP实现一非特定人语音识别系统 有很大的帮助。-this document right to use a DSP-independent speech recognition system is a great help. Platform: |
Size: 1095680 |
Author:刘品 |
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Description: 利用hmm的孤立字（词）语音识别系统，经典的算法，没有图形界面，需要的可以完善一下。-use hmm isolated words (words) speech recognition system, the classical algorithm, no graphical interface, need to be perfect in this. Platform: |
Size: 268288 |
Author:张维镇 |
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Description: 说话人识别系统,界面友好，可以对实时录音的说话人进行识别-Speaker recognition system, user-friendly, real-time recording can be carried out to identify the speaker Platform: |
Size: 2451456 |
Author:万金油 |
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Description: 源码是一个字符识别系统。在VC++环境下通过对输入的字符的识别可以识别出字符，无论是汉字还是数字或是字母。-Source code is a character recognition system. In VC++ Environment through the identification of input characters can be identified characters, whether it is or the number of Chinese characters or letters. Platform: |
Size: 80896 |
Author:yemaoqiu |
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Description: 一个完整的人脸识别系统,可直接运行感觉还不错-A complete face recognition system, can be directly run feeling pretty good Platform: |
Size: 1085440 |
Author:zhong |
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Description: 这是一个用matlab做的人脸识别系统，里面包含了几十张人脸数据图像，值得一荐-This is a matlab to do with Face Recognition System, which contains dozens of Zhang Face image data, it is worth sacral Platform: |
Size: 304128 |
Author:赵军军 |
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Description: gmm模型下的语音情感识别系统，GMM只是一个数学模型，只是对数据形态的拟和，但是和你所看到的数据分布存在出入也是正常的，因为用EM估计GMM的那些参数时，一般假设我们所得到的数据是不完备的（也就是说假设我们看到的数据分布不是真正的分布，它在运算时把那部分丢失或者叫隐藏的数据“补”上了）-gmm model speech emotion recognition system, GMM is a mathematical model, but fitting the data form, but you can see there is access to the data distribution is normal, because those with the EM estimated GMM parameters, the general assumption we get the data is incomplete (that is, assuming we see the distribution of the data distribution is not real, it is part of the operation at the time that is lost or hidden data is called " fill" on the) Platform: |
Size: 11264 |
Author:张忠顺 |
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Description: Face Recognition System Based on Different Artificial Neural Networks Models and Training Algorithms Platform: |
Size: 580608 |
Author:HansanaA |
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