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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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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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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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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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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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MATLAB环境下实现基于矢量量化的说话人识别系统-MATLAB environment to achieve vector quantization based speech recognition system
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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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基于矢量量化的孤立词语音识别系统看，性能良好，Matlab 实现！-Based on vector quantization of isolated word speech recognition system to see, good performance, Matlab to achieve!
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基于非特定人的语言识别算法，采用矢量量化的方法能够较简单的实现语音的识别。-Based on the non specific human speech recognition algorithm, using vector quantization method is a simple implementation of speech recognition.
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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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在语音信号处理方面，该代码可以实现语音信号矢量量化功能-In speech signal processing, the code can achieve voice signal vector quantization function
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