Title
An efficient LSF quantization using dynamic bit allocation
Abstract
The current paper is concerned with an effective method to quantize a spectrum envelope of a speech signal without having an inter-frame prediction. In this paper, we proposed a method referred to as dynamic bit allocation-split vector quantization (DBA-SVQ). The main feature of this structure is that it makes use of the ordering property of line spectral frequencies (LSF) and exploits multiple codebooks, normalization and the DBA technique. As a result, we can limit the dynamic range of LSF sub-vectors and allocate different numbers of bits in accordance with the range sizes to maximize the overall efficiency of quantization. The performance is compared with delta line spectral pairs (LSP) VQ, which is used in EVRC-B, demonstrating reduction in spectral distortion (SD).
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4960540
ICASSP
Keywords
Field
DocType
lpc,dynamic range,spectral distortion,range size,multiple codebooks,efficient lsf quantization,quantization,speech signal,split vector quantization,dynamic bit allocation,vector quantisation,dba technique,speech coding,line spectral frequencies,dynamic bit allocation-split vector,line spectral frequency,delta line spectral pair,lsf sub-vectors,current paper,lsf quantization,effective method,frequency,forward error correction,speech,spectrum,quality of service,vector quantization,interpolation,robustness,dynamic scheduling
Forward error correction,Normalization (statistics),Speech coding,Dynamic range,Pattern recognition,Computer science,Robustness (computer science),Vector quantization,Artificial intelligence,Quantization (signal processing),Line spectral pairs
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-2354-5
978-1-4244-2354-5
2
PageRank 
References 
Authors
0.48
4
4
Name
Order
Citations
PageRank
Ho-Sang Sung1335.68
Changyong Son251.38
Kangeun Lee320.48
Eunmi Oh4855.56