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基于MFCC的GMM的说话人识别，是很好的语音处理程序-MFCC of the GMM based speaker recognition, speech processing is a very good program
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说话人识别和训练系统所用的很多源码，内容很详实，希望大家能用的上-Speaker Recognition and training system used by a lot of source code, content is very informative and hope that we can use the upper
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Speaker Recognition by training GMM models for the speakers in the system. Also tells if there s an impostor in the system.
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这个是用Matlab写成的说话人识别演示程序。-Currently, there are more than 20 classes in this library, including commonly used feature extraction algorithms and modeling techniques for speech recognition and speaker verification.-Currently, there are more than 20 classe
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高斯混合模型是單一高斯機率密度函數的延伸，由於GMM 能夠平滑地近似任意形狀的密度分佈，因此近年來常被用在語音與語者辨識，得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte
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Wavelet Subband coding for speaker recognition
The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM
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本文章描述了说话人识别中GMM模型中的聚类算法的研究-This article describes the GMM Speaker Recognition Model Clustering Algorithm
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高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approxi
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:高斯混合模型(GMM)是一种经典的说话人识别算法，本文在实现其算法的同时，主要模拟了不同噪声环境情况下高斯混合模型
(GMM)的杭嗓声性能，得到了一些有益结论。
-Gaussian mixture model (GMM) is a classic speaker recognition algorithms, this algorithm at the same time in fulfilling its main simulated environmental conditions
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说话人识别的MATLAB源码，效果还可以-Speaker Recognition MATLAB source, the effect can be
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speaker recognition system
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automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
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Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Pa
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GMM的说话人识别系统，识别效果90 多-GMM speaker recognition system, the recognition effect more than 90
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是基于matlab的语者识别系统。包括了预处理，mfcc，和gmm算法匹配。-Matlab-based speaker recognition system. Including the pretreatment, mfcc, and gmm algorithm match.
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说话人识别很好的参考文档，是GMM搭建说话人识别系统的入门教程-Speaker Recognition good reference document, GMM build the speaker recognition system Tutorial
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GMM说话人识别平台全套，从特征提取到模式识别，到识别率，一整套都有-GMM speaker recognition platform full, from feature extraction to pattern recognition, the recognition rate, set both
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基于GMM说话人识别特征提取
1、需要有语音工具箱
2、训练和测试包含了加噪的代码
3、包含噪声数据
4、没有包含语音数据
5、语音数据可以自行录制或者找一段语音-Extraction Based on GMM speaker recognition feature
A need to have a voice toolbox
2, the training and testing included adding noise code
3, including n
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本代码是主要实现基于GMM算法的说话人识别功能，属于现在比较热门的人工智能领域。-The code is mainly to achieve Based on GMM speaker recognition algorithms, it is now more popular field of artificial intelligence.
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基于MATLAB实现的DWT+GMM说话人识别，附带语料库和相关论文word版，毕设作品，详细且可运行！(MATLAB based DWT+GMM speaker recognition, incidental corpus and related papers word version, set up work, detailed and run!)
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