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说话人身份识别程序，采用MFCC参数提取，并建立GMM模型来进行识别-Speaker identification procedures, using MFCC extraction, and the establishment of GMM model to identify
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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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Speaker Identification with MFCC Comparison Analysis.ppt
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VQ声纹识别算法和实验.
摘要：采用线性预测倒谱系数(1inear prediction cepstrum coefficient，LPCC)作为语音的特征参数，矢量量化(vector quantity，VQ)方法进行模式匹配，探讨声纹识别以实现身份认证，并对此识别方法进行了相关的实验．通过验证，这种方法可以区分不同的说话人，并且在做说话人辨认实验时可达到较高的识别率．-VQ pattern recognition algorithms and experimental sound. Ab
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基于MATLAB的简单系统源码，能够录音、数字1-10识别，说话人识别-code of speaker identification on matlab
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MATLAB CODE TO EXTRACT GAMMATONE FEATURES WHICH IS USED IN SPEAKER IDENTIFICATION
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基于GMM的话者识别matlab程序，训练运行train.m,识别运行recog.m(speaker identification system based on GMM)
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