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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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vector quantization with the weight for
the speaker recognization-vector quantization with the weight forthe speaker recognization
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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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由Nam Phamdo编写的基于LBG的矢量量化程序，对于语音的压缩很有意义，也可以用在视频和图像的压缩中。-Nam Phamdo prepared by LBG-based vector quantization process, for voice compression meaningful, but also can be used in video and image compression.
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这是一个向量量子化的程序，且生成两种运行环境，Dos界面以及linux环境。有三个文件，lvq.zip为源码，Winlvq为Dos运行界面，另外一个为linux运行环境。-This is a vector quantization procedure, and generate two types of operating environment, Dos interface and linux environment. There are three documents, lvq.zip fo
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使用k-means算法模拟向量量子化过程-Using k-means algorithm for vector quantization process simulation
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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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：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技
术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率
在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound modul
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该算法将粒子对算法应用于图像矢量量化，是一个很实用的源码。-The algorithm will be applied to particle image vector quantization algorithm, is a very useful source.
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G.729算法采用“共轭结构代数码本激励线性预测编码方案”（CS-ACELP）算法。这种算法综合了波形编码和参数编码的优点，以自适应预测编码技术为基础，采用了矢量量化、合成分析和感觉加权等技术。-G.729 algorithm " Conjugate Structure Algebraic Code Excited Linear Prediction of the coding scheme" (CS-ACELP) algorithm. This algorithm combi
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This the code for vector quantization by using k-means-This is the code for vector quantization by using k-means
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语音识别中提取mfcc特征矢量和矢量量化的c程序-Mfcc speech recognition to extract feature vector and the vector quantization process of c
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提出一种利用最小交叉熵优化方法的矢量量化分类算法， 将矢量的分类问题转化为最小失真函数估计问题，通过关联随机迭代算法逼近最优值，以更好的减小量化误差。-A minimum cross-entropy optimization of the use of methods of classification of vector quantization algorithm, the classification of the vector into the issue of minimum-dist
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采用矢量量化对语音信号量化，并与标量量化对比分析，绘制了语音信号的概率密度曲线-The use of vector quantization for speech signal quantization and scalar quantization and comparative analysis, rendering the speech signal probability density curve
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几种C++神经模型和算法实例,主要有BP神经网络、BP神经网络解决异或问题、HMM的C语言实现、矢量量化的C语言实现等。-Several C++ examples of neural models and algorithms, there are BP neural network, BP neural network to solve XOR problem, HMM of the C language, vector quantization, such as the C language
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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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文章介绍的说话人识别系统，采用能够反映人对语音的感知特性的9(:频率倒谱系数（9(: <+(=>(2/?8(’0+):
81(..-/-(20@，9<88）作为特征参数，同时考虑到特征参数各维分量对于不同说话人的区分程度，采用加权的办法进行矢
量量化。-This paper introduces the speaker recognition system used to reflect the people s perception of voice characte
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MELP 2400 bps MSVQ Vector Quantization
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