A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding

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Title A comparative study of LPC parameter representations and quantisation schemes for wideband speech coding
Author So, Stephen; Paliwal, Kuldip Kumar
Journal Name Digital Signal Processing
Editor M. Rangaswamy, F.J. Harris
Year Published 2007
Place of publication Netherlands
Publisher Elsevier
Abstract In this paper, we provide a review of LPC parameter quantisation for wideband speech coding as well as evaluate our contributions, namely the switched split vector quantiser (SSVQ) and multi-frame GMM-based block quantiser. We also compare the performance of various quantisation schemes on the two popular LPC parameter representations: line spectral frequencies (LSFs) and immittance spectral pairs (ISPs). Our experimental results indicate that ISPs are superior to LSFs by 1 bit/frame in independent quantiser schemes, such as scalar quantisers; while LSFs are the superior representation for joint vector quantiser schemes. We also derive informal lower bounds, 35 and 36 bits/frame, for the transparent coding of LSFs and ISPs, respectively, via the extrapolation of the operating distortion-rate curve of the unconstrained vector quantiser. Finally, we report and discuss the results of applying the SSVQ with dynamically-weighted distance measure and the multi-frame GMM-based block quantiser, which achieve transparent coding at 42 and 37 bits/frame, respectively, for LSFs. ISPs were found to be inferior to the LSFs by 1 bit/frame. In our comparative study, other quantisation schemes that were investigated include PDF-optimised scalar quantisers, the memoryless Gaussian mixture model-based block quantiser, the split vector quantiser, and the split-multistage vector quantiser with MA predictor from the AMR-WB (ITU-T G.722.2) speech coder.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.elsevier.com/wps/find/journaldescription.cws_home/622818/description#description
Alternative URI http://dx.doi.org/10.1016/j.dsp.2005.10.002
Volume 17
Page from 114
Page to 137
ISSN 1051-2004
Date Accessioned 2007-09-27
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Signal Processing
URI http://hdl.handle.net/10072/17262
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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