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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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对于说话人识别系统进行的编程，利用matlab来进行设计编程。-Programming for speaker recognition system, using matlab to design programming.
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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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This project gives the design of control system and
speaker recognition code using matlab. Matlab’s straightforward
programming interface makes it an ideal tool for speech analysis
projects. For the current project, experience was gained in
g
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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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用MATLAB实现说话人语音识别功能设计过程采用fft变化以及滤波器除噪-Using MATLAB speaker voice recognition feature of the design process and filter change using fft coring
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Files about Speaker Recognition using Gaussian Mixture Model (matlab m.files)
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