模糊聚类与LBG级联的VQ算法

针对LBG算法初始码本随机选取后易出现空胞腔、易陷入局部极小、迭代次数大等缺陷,本文依据模糊聚类理论引入了矢量量化码本设计训练的模糊聚类与LBG级联算法:先用模糊聚类算法训练码本,将训练得到的码本作为传统LBG算法的初始码本,再用传统LBG算法训练.论述了模糊聚类和LBG联合算法的原理与方法;用该算法分剐训练了语音线性...

VQ Algorithm of Fuzzy Clustering and LBG Cascade

The joint algorithm of fuzzy clustering and LBG,which was used to train the VQ codebook,was brought forward on the basis of Fuzzy Clustering theory because of the defect that traditional algorithm LBG will emerge empty cell cavity and fall into local minimum and have larger number of iterations;This algorithm is have choice of the initial codebook by fuzzy clustering,and the traditional LBG find better codebooks based on the initial codebook.This paper present principles and methods of joint algorithm.The codebook of Log Area Ratio(LAR) of Coefficient of Linear Prediction and subband voiced strength was trained by this algorithm.The training process indicates that this algorithm could convergence with a faster speed and could have a strong expansion if the training samples are large enough and the wild-points were removed.In the simulation experiment,the synthesized speech has better quality because of the codebook.