搜索资源列表
lbgsuanfa
- 语音信号处理的lbg算法 在语音信号处理中很重要-speech signal processing algorithm in the lbg speech signal processing is very important
VQ_LBG_newdistortion
- 语音编码中对LSF系数进行VQ处理，LBG方法生成VQ码书，且采用了新的失真测度-Speech Coding for VQ processing LSF coefficients, LBG method of VQ codebook generation, and adopted a new measure of distortion
LBG
- it is for LBG IN SPEECH
5
- 编制LBG算法程序，以语音信号的短时平均能量为例，训练一个5比特码书，并给出量化器的失真特性。-Procedures for the preparation of LBG algorithm to short-time average energy of speech signals, for example, training for a 5-bit code book, and gives quantizer distortion characteristics.
vqlbg
- 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
exp7
- LBG分类算法 用初始室心随机法和扰动因子分裂法两种方法，比较不同方法不同参数设置时的分类性能。 -LBG classification algorithm vector quantization: vector normalization within a certain range for a particular type, consists of two steps: first generate a codebook, which is the speech feature v
aquaantiziingp
- 应用LBG算法对语音信号进行矢量量化。本压缩包共有两个主文件，training.m对训练数据进进行处理并的到四个初始码本，quantizing.m对待量化数据进行矢量量化。其余为自编功能函数。 -The application of the LBG algorithm for vector quantization of speech signals. The compressed package a total of two main documents training.m into t
slbggsuanffap
- 语音信号处理的lbg算法法在语音信号处理中非常重要 -Lbg of voice signal processing algorithms in speech signal processing is very important
simulation-of-speech-coding
- 计算语音信号的AMDF(短时平均幅度差)，基音估计(中心削波)，LBG算法的实现-Calculation of the speech signal AMDF (short time average magnitude difference), pitch estimation clipping (center), the implementation of the LBG algorithm
Vector-quantization
- （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
LBG
- 假设一段语音信号，用其作为序列，编程实现LBG算法产生码书。-Assuming a speech signal, use it as a sequence, programming the LBG algorithm to generate the codebook.
语音聚类示例
- 实验示例是基于语音中的mfcc，语音倒谱特征来进行聚类，先利用训练样本来计算训练样本聚类中心（用到了lbg算法），之后再进行分类。 注意：使用代码时需要自己更改文件路径。(This example is based on the MFCC in speech and the feature of speech Cepstrum to cluster. First, the training sample is used to calculate the training sample clus