Low-Complexity PARCOR Coefficient Quantizer and Prediction Order Estimator for G.711.0 (Lossless Speech Coding)

Y. Kamamoto, T. Moriya, N. Harada
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引用次数: 4

Abstract

This paper presents two low-complexity tools used for the new ITU-T recommendation G.711.0, which is the standard for lossless compression of G.711 (A-law/Mu-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.
G.711.0无损语音编码的低复杂度PARCOR系数量化器和预测阶估计器
本文介绍了用于新的ITU-T推荐G.711.0的两个低复杂度工具,G.711.0是G.711 (a律/ mu律对数PCM)语音数据无损压缩的标准。一种是量化parkor /反射系数的算法,另一种是最优预测阶数的估计方法。这两种工具都基于最小化预测残差信号熵的准则,并且可以在定点低复杂度算法中实现。由于G.711.0可以无损地降低目前流行的语音编码技术G.711的数据速率,因此开发出的实用工具将在各个地方得到广泛的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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