Low-complexity PARCOR coefficient quantizer and prediction order estimator for lossless speech coding

This paper describes two low-complexity tools used for the new ITU-T recommendation G.711.0, the lossless coding of G.711 (A-law/μ-law logarithmic PCM) speech data. One is an algorithm for quantizing the PARCOR/reflection coefficients and the other is an estimation method for the optimal prediction...

Full description

Saved in:
Bibliographic Details
Published in2010 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 4678 - 4681
Main Authors Kamamoto, Y, Moriya, T, Harada, N
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2010
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This paper describes two low-complexity tools used for the new ITU-T recommendation G.711.0, the lossless coding of G.711 (A-law/μ-law logarithmic PCM) speech data. One is an algorithm for quantizing the PARCOR/reflection coefficients and the other is an estimation method for the optimal prediction order. Both tools are based on a criterion that minimizes the entropy of the prediction residual signals and can be implemented in a fixed-point low-complexity algorithm. G.711.0 with the developed practical tools will be widely used everywhere because it can losslessly reduce the data rate of G.711, the prevailing speech-coding technology.
ISBN:9781424442959
1424442958
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2010.5495188