自适应模糊聚类LBG矢量量化算法  

Self-adaption fuzzy clustering LBG vector-quantization algorithm

作　　者：孙燕[1] 

机构地区：[1]青海民族大学计算机学院,西宁810007

出　　处：《计算机工程与应用》2014年第23期203-205,共3页Computer Engineering and Applications

摘　　要：采用模糊聚类C均值聚类确定型心改进LBG算法,实现语音参数MFCC码本的矢量量化,实验结果表明,该算法有着与单一LBG算法相近的量化误差,自适应确定码本大小码,码本尺寸显著降低,减小码本的存储量。In this paper, a self-adaptive fuzzy c-means clustering algorithm is proposed. It is designed to overcome the shortcomings of the traditional LBG vector-quantization algorithm. Experimental results on MFCC quantization show that the proposed algorithm has similar quantization error compared to the classic LBG algorithm while significantly reducing codebook size and memory footprint.

关 键 词：LBG算法 自适应 梅尔频率倒谱系数(MFCC) 模糊聚类 矢量量化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]