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使用voicebox进行说话人识别,初步介绍如何用GMM（Gaussian Mixture Model）的方法来进行说话人辨识（Speaker Identification），并在Matlab下，尝试通过调整参数来提高得分-For speaker recognition using the voicebox, initially describes how to use GMM (Gaussian Mixture Model) approach to speaker recognition (S
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MATLAB下使用Mel倒谱特征进行说话人识别源代码-MATLAB using Mel Cepstrum for Speaker Recognition Source Code
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Speaker Verification Toolbox
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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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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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The main objective behind this project is using speaker recognition for security purposes.
By security we mean identification of the speaker and thus granting permission to access details of very high confidentiality
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文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+):
81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢
量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
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Speaker recognition matlab code by dallen ellis
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用高斯混合模型来实现说话人识别的源代码，识别效果挺好的-Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape
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本程序是基于matlab的语者识别系统。采用mfcc算法进行提取语音特征，用gmm算法进行匹配。-This procedure is based on a speaker recognition system matlab. Mfcc algorithm using speech feature extraction, matching algorithms using gmm.
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基于matlab的语者识别系统，使用的是VQ算法识别，包含了预处理，识别算法。-Matlab-based speaker recognition system, using a VQ algorithm recognition, includes preprocessing, recognition algorithm.
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speech recognition using matlab....sousce definition
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speaker recognition.In 1980, Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. A VQ that is designed using this algorithm are r
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speaker detection using different function
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SPEECH RECOGNISATION USING TEXT INDEPENDENT
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本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition
system using MATLAB® . The issues that were considered are 1
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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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语音信号说话人识别， 运用DTW算法进行说话人识别(Speaker recognition by speech signal and speaker recognition using DTW algorithm)
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用matlab进行的说话人识别，计算方法是mfcc，识别精度很高(This is a speaker recognition, using mfcc)
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