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基于码本共享算法的分模式多级矢量量化
引用本文:魏旋,计哲,崔慧娟,唐昆.基于码本共享算法的分模式多级矢量量化[J].清华大学学报(自然科学版),2011(1):131-134.
作者姓名:魏旋  计哲  崔慧娟  唐昆
作者单位:清华大学电子工程系微波与数字通信国家重点实验室;
基金项目:国家自然科学基金资助项目(60572081)
摘    要:为了在存储量受限的情况下尽可能提高线性预测编码(linear predictive coding,LPC)系数量化性能,提出了一种基于码本共享算法的分模式多级矢量量化(multi-stagevector quantization,MSVQ)算法。由于LPC参数的分布与清浊音(unvoiced/voiced,U/V)参数相关,该算法对不同U/V对应的LPC参数进行不同量化,然后利用码本共享算法减少存储量需求。实验表明:在相同码率的情况下,该算法较MSVQ平均谱失真(spectrum distortion,SD)降低3.2%,码本大小增加26.7%;较分模式量化(mode-basedquantization,MBQ)平均谱失真升高3.6%,但是码本尺寸下降了92.1%。该算法是MSVQ与MBQ算法的一种折衷,在增加少量存储量的情况下提高了LPC系数的量化性能。

关 键 词:语音编码  低速率  矢量量化  分模式量化  码本共享

Mode based multi-stage vector quantization with shared codebooks
WEI Xuan,JI Zhe,CUI Huijuan,TANG Kun.Mode based multi-stage vector quantization with shared codebooks[J].Journal of Tsinghua University(Science and Technology),2011(1):131-134.
Authors:WEI Xuan  JI Zhe  CUI Huijuan  TANG Kun
Institution:WEI Xuan,JI Zhe,CUI Huijuan,TANG Kun(State Key Laboratory of Microwave and Digital Communications,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)
Abstract:A mode based multi-stage vector quantization(MSVQ) algorithm was developed to more efficiently quantize linear predictive coding(LPC) coefficients with constrained storage.Since the distributions of the LPC parameters are related to the unvoiced/voiced(U/V) parameters,the LPC parameters were quantized according to their U/V parameters,with a codebook sharing algorithm used to reduce the storage requirements.Tests show that the average spectrum distortion(SD) of the quantization algorithm is reduced by 3.2% ...
Keywords:speech coding  low bit-rate  vector quantization  mode-based quantization  codebook sharing  
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