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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Hauptverfasser:	Kamamoto, Y, Moriya, T, Harada, N
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Codecs Decoding Entropy G.711 Laboratories Linear predictive coding Lossless compression Phase change materials Propagation losses Pulse modulation Reflection Speech coding Standardization
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creator	Kamamoto, Y Moriya, T Harada, N
description	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.
doi_str_mv	10.1109/ICASSP.2010.5495188
format	Conference Proceeding
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subjects	Codecs Decoding Entropy G.711 Laboratories Linear predictive coding Lossless compression Phase change materials Propagation losses Pulse modulation Reflection Speech coding Standardization
title	Low-complexity PARCOR coefficient quantizer and prediction order estimator for lossless speech coding
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