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4下载：
在matlab环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该说话人识别系统，对不同的人的1s～7s的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。
使用说明：
1 训练
打开matlab 使Current Directory为VQ所在的文件夹(比如：E:\\vq)
在Command windows中输入
-in matlab environment based VQ speaker recognition System. Real-
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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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说话人识别GMM模型训练matlab程序，需要和voicebox配合使用，使用voicebox提取MFCC和k均值分类，这是GMM说话人识别模型的训练程序。-speaker recognition GMM model training matlab program used in conjunction with and voicebox, voicebox extract MFCC and k-means classification, which is a GMM speaker recog
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国际上最新的说话人识别算法的源程序，内置语音训练数据-The latest international speaker recognition algorithm source code, built-in voice training data
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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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在做和语音信号处理相关的项目时要用到的语音工具箱,比如语音识别,说话人识别等,里面有一些已经封装好的小函数,可供大家编程序的时候直接调用-in speech signal processing to do and projects related to voice use toolbox, such as speech recognition, speaker recognition, etc., there are some good small function package for ev
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一个跟说话人识别相关的资料，非常适合入门，精彩不容错过呀-A speaker recognition with the relevant information is well suited to introduce the best of me not to be missed
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一个基于matlab的语音识别程序，可以识别不同人的声音。-A speaker recognition program based on matlab.
speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
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在matlab环境下实现基于矢量量化的说话人识别系统。在实时录音的情况下，利用该语音识别系统，对不同的人的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。-in the matlab environment VQ-based speaker recognition System. in real-time recording, the use of the voice recognition system, for different people to carry out voice
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speech recognition using hidden markov model making it speaker independent
Using matlab 7.5[2008b]
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利用DTW算法进行说话人识别,语音可以自己替换-DTW algorithm using speaker recognition
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说话人识别中,最后带测语音匹配阶段.利用DTW算法实现-speaker recognition, the last swath of voice matching stage. The use of DTW algorithm
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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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本资料是自己编写的基于matlab语音工具箱的DTW动态时间规整的说话人识别，具有很高的识别率-This information is written in their own voice-based matlab toolbox DTW dynamic time warping speaker recognition with high recognition rate
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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 in real time done with matlab
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摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。
该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在matlab平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。-Abstract: This thesis
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The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected fro
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