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...
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Published in | 2010 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 4678 - 4681 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.01.2010
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Subjects | |
Online Access | Get full text |
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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. |
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ISBN: | 9781424442959 1424442958 |
ISSN: | 1520-6149 2379-190X |
DOI: | 10.1109/ICASSP.2010.5495188 |