Low Bit Rate Speech Coding Using Lattice Vector Quantization and Time-Scale Modification

被引：0
|
作者：
Xiao, Qiang [1 ]
Chen, Liang [1 ]
Geng, Chao [2 ]
机构：
[1] PLA Univ Sci & Tech, Inst Commun Engn, Nanjing, Jiangsu, Peoples R China
[2] PLA Ruian, Unit 92985, Ruian, Peoples R China
来源：
MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8 | 2012年 / 383-390卷
关键词：
Low bit rate speech coding; Lattice vector quantization; Time-scale modification; LSP parameters;
D O I：
10.4028/www.scientific.net/AMR.383-390-5111
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a low bit rate speech coder based on predictive lattice vector quantization (PLVQ) and time-scale modification (TSM). The coding model of proposed vocoder is built on the MELP, in which bit rate reduction is achieved by taking advantage of PLVQ and TSM techniques. PLVQ is used to encode the speech line spectrum pair (LSP) parameters, which has the advantage of lower implementation complexity than multi-stage vector quantization (MSVQ), moreover, it does not require memory for codebook storage. With our speech data base, PLVQ can save up to 4 bits/frame compared to unstructured codebook MSVQ. TSM can change the speed of speech signal with its perceptual characteristics remained. Through appending TSM as previous and post process, speech coding at bit rate about 1.1 kbps could be easily achieved without modifying the vocoder structure.
引用
收藏
页码：5111 / +
页数：2
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