An adaptive multi-scale lattice vector quantization and its application in low bit rate speech coding

2015 ◽  
pp. 109-114
Author(s):  
Weijun He ◽  
Qianhua He
2011 ◽  
Vol 383-390 ◽  
pp. 5111-5116
Author(s):  
Qiang Xiao ◽  
Liang Chen ◽  
Chao Geng

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.


2005 ◽  
Author(s):  
Joon-Hyuk Chang ◽  
Jong-Won Shin ◽  
Seung Yeol Lee ◽  
Nam Soo Kim
Keyword(s):  
Bit Rate ◽  

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