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说话人识别是语音识别的一种特殊方式，其目的不是识别语音内容，而是识别说话人是谁，即从语音信号中提取个人特征。采用矢量量化（VQ）可避免困难的语音分段问题和时间归整问题，且作为一种数据压缩手段可大大减少系统所需的数据存储量。本文提出了识别特征选取采用复倒谱特征参数和对应用VQ的说话人识别系统改进的一种方法。当用于训练的数据量较小时，复倒谱特征可以得到比较稳定的识别性能。VQ的改进方法避免了说话人识别系统的训练时间与使用时间相差过长从而导致系统的性能明显下降以及若利用自相关函数带来的大量运算。-Sp
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语音识别中的矢量量化（vq）的matlab程序，希望可以帮到需要的人-Speech Recognition vector quantization (vq) Matlab procedure, the desire to help people in need
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很好的MATLAB开发源程序
基于VQ矢量量化的语音识别程序,MATLAB to develop a very good source of vector quantization VQ-based speech recognition procedures
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语音矢量量化编码是一项在语音编码中应用广泛的技术,相信对做语音编码的很有用。-Voice coding vector quantization in speech coding is a widely used technology, speech coding do believe that the very useful.
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自己用c语言写的关于语音识别中预处理过程中的矢量量化的程序，希望大家能用的上-C language used to write their own on the speech recognition pre-processing in the process of vector quantization procedure, the last hope that we can
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对于语音编码参数的有权重多级矢量量化，主要是对LSP码本训练，这个权重学习语音的都应知道，且这个可以训练大的语音参数，完全自已写的。上传前已调试成功。-Speech coding parameters for the right to re-multistage vector quantization, mainly for LSP codebook training, the right to re-learn voice should know, and that this can be t
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语音识别主要指让机器听懂人的语言，即在各种情况下，准确地识别出语音的内容，从而根据其信息，执行人的各种意图。
-Research on Vector Quantization in
Speech Recognition
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In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal is given as the input will be verified using speech recognition technique using matlab. We have used Mel Frequency Cepstr
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语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别-Speech Signal Processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition, etc.
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语音信号处理的课件，包含语音信号的短时分析、特征提取、矢量量化，语音编码、合成与识别.-Speech signal processing courseware, including short-time speech signal analysis, feature extraction, vector quantization, speech coding, synthesis and recognition.
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一种低速率语音编码矢量量化方法A low bit rate speech coding method of vector quantization-A low bit rate speech coding method of vector quantization
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This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vecto
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语音信号处理矢量量化的LBG算法，又称K-mean 算法-in speech signal process vector quantization technology using LBG algorithm with matlab language
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ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
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Speech Coding Standards, SIGNAL PROCESSING TECHNIQUES, STOCHASTIC PROCESSES AND MODELS, LINEAR PREDICTION, SCALAR QUANTIZATION, PULSE CODE MODULATION AND ITS VARIANTS, VECTOR QUANTIZATION, LINEAR PREDICTION CODING, etc.
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张雪英“数字语音信号处理及matlab仿真”部分源代码，包括线性预测，矢量量化等-ZHANG Xue-Ying " digital speech signal processing and matlab simulation" part of the source code, including linear prediction and vector quantization
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语音识别提取特征向量后用到的矢量量化代码。含有中文注释，感兴趣的可以参考一下。-Used in the speech recognition feature extraction vector vector quantization code. With Chinese comments, interested can refer to.
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针对语音信号的能量，实现三维矢量量化，量化失真小。-Energy for the speech signal to achieve a three-dimensional vector quantization, a quantization distortion.
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（1）理解矢量量化的基本原理。
（2）掌握矢量量化器设计的LBG方法。
（3）运用LBG方法获取语音短时平均能量码书-(1) to understand the basic principles of vector quantization.
(2) master the vector quantizer design LBG method.
(3) Using the LBG method to obtain the speech short time average ener
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