Split-dimension vector quantization of Parcor coefficients for low bit rate speech coding

1994 ◽  
Vol 2 (3) ◽  
pp. 443-446 ◽  
Author(s):  
Kwok-Wah Law ◽  
Cheung-Fat Chan
Keyword(s):  
Vector Quantization ◽  
Speech Coding ◽  
Bit Rate ◽  
Dimension Vector ◽  
Low Bit Rate

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

2011 ◽  
Vol 383-390 ◽  
pp. 5111-5116
Author(s):  
Qiang Xiao ◽  
Liang Chen ◽  
Chao Geng
Keyword(s):  
Vector Quantization ◽  
Time Scale ◽  
Speech Coding ◽  
Bit Rate ◽  
Lattice Vector ◽  
Low Bit Rate ◽  
Post Process ◽  
Lattice Vector Quantization ◽  
Multi Stage ◽  
Time Scale Modification

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.

A new structural preprocessor for low-bit rate speech coding

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