Title
A Fast Encoding Technique For Vector Quantization Of Lsf Parameters
Abstract
A fast encoding technique is described for vector quantization (VQ) of line spectral frequency parameters. A reduction in VQ encoding complexity is achieved by using a preliminary test that reduces the necessary codebook search range. The test is performed based on two criteria. One criterion uses the distance between a specific single element of the input vector and the corresponding element of the codevectors in the codebook. The other criterion makes use of the ordering property of LSF parameters. The fast encoding technique is implemented in the enhanced variable rate codec (EVRC) encoding algorithm. Simulation results show that the average searching range of the codebook can be reduced by 44.50% for the EVRC without degradation of spectral distortion (SD).
Year
DOI
Venue
2005
10.1093/ietcom/e88-b.9.3750
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
line spectral frequency (LSF), speech coding, split VQ, EVRC, fast search VQ
Speech coding,Linde–Buzo–Gray algorithm,Computer science,Algorithm,Vector quantization,Enhanced Variable Rate Codec,Data compression,Codec,Encoding (memory),Codebook
Journal
Volume
Issue
ISSN
E88B
9
0916-8516
Citations 
PageRank 
References 
2
0.53
0
Authors
4
Name
Order
Citations
PageRank
Sangwon Kang1216.06
Yongwon Shin2162.37
Changyong Son351.38
Thomas R. Fischer418539.19