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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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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 using MFCC feature and VQ training, very clear MATLAB code
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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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基于Matlab平台的语者识别系统
使用mfcc、DTW等算法-Matlab platform, based on speaker identification system using mfcc, DTW algorithm as
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In this work, the Mel frequency Cepstrum Coefficient
(MFCC) feature has been used for designing a text
dependent speaker identification system. The extracted
speech features (MFCC’s) of a speaker are quantized to a
number of centroids using v
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