A comparison of LSF and ISP representations for wideband LPC parameter coding using the switched split vector quantiser

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Title A comparison of LSF and ISP representations for wideband LPC parameter coding using the switched split vector quantiser
Author So, Stephen; Paliwal, Kuldip Kumar
Publication Title The 8th International Symposium on Signal Processing and Its Applications
Editor SuviSoct
Year Published 2005
Place of publication USA
Publisher IEEE
Abstract In this paper, we apply the switched split vector quantiser (SSVQ) for coding short-term spectral envelope information in wideband speech coding to compare and contrast two LPC parameter representations: line spectral frequencies (LSFs) and immittance spectral pairs (ISPs). The SSVQ is the hybrid of a switch vector quantiser and split vector quantiser, which has been shown in previous studies to be more efficient, in terms of rate-distortion, as well as possessing lower computational complexity, than the split vector quantiser (SVQ). On the TIMIT database, the five-part SSVQ requires 43 and 44 bits/frame to transparently code LSFs and ISPs, respectively. This 1 bit/frame difference between LSFs and ISPs is also observed in five-part SVQ. The split-multistage vector quantiser (S-MSVQ) with MA predictor from the AMR-WB speech coder (ITU-T G.722.2) is also used as a basis of comparison where we find the SSVQ, which is a memoryless quantisation scheme, to be competitive at 46 bits/frame.
Peer Reviewed Yes
Published Yes
Publisher URI http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1581008
Copyright Statement Copyright 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Conference name The 8th International Symposium on Signal Processing and Its Applications
Location Sydney, Australia
Date From 2005-08-28
Date To 2005-08-31
URI http://hdl.handle.net/10072/2671
Date Accessioned 2006-02-22
Date Available 2007-07-02T01:55:51Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject Signal Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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