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噪声鲁棒性说话人识别语音高频加权MFCC提取各方面介绍,Noise robustness of speaker recognition, voice high-frequency weighted to introduce various aspects of MFCC extraction
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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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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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Speaker Identification using MFCC feature and VQ training, very clear MATLAB code
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Speaker Identification with MFCC Comparison Analysis.ppt
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speaker recognition mfcc matlab code
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说话人识别代码,端点检测,预加重,MFCC..采用的模型是神经网络~-Speaker identification code, endpoint detection, pre-emphasis, MFCC .. neural network model is adopted ~
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automatic Speaker recognition system using Gmm and Mf-automatic Speaker recognition system using Gmm and Mfcc
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LPCC、MFCC的参数提取，说话人识别的代码-LPCC, MFCC parameter extraction, speaker identification code
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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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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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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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MATLAB的平台下mfcc的参数提取，可用于说话人识别,适用于声纹门禁系统-MATLAB platform MFCC parameter extraction for speaker recognition, suitable for voiceprint access control system
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基于MFCC和VQ的说话人识别系统，通过MATLAB实现仿真，并给出演示代码。-MFCC and VQ-based speaker recognition system, through MATLAB simulation, and given the demo code.
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基于matlab 的说话人识别代码，实现了GUI界面操作，方便可靠，使用性能好-Based on speaker recognition matlab code to achieve a GUI interface, convenient, reliable, good performance
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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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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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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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