The paper presents the results for estimating the potential coding efficiency of spectrum envelope waveform (SEW) of speech signals (SS) by using the linear prediction (LP) method and using different sets of alternative equivalent parameters (AEP) that include line spectral pairs/projections (LSP), line spectral frequencies (LSF), and alternative line spectral parameters of highest splitting (LSP-HS and LSF-HS). These results are derived by the proposed approach based on using the LP method for SS SEW coding with maximum frame overlap during its analysis. It includes the examination of such coding scheme as approaching an appropriate analog vector source in each of AEP spaces, the stepwise designing of an appropriate vector codebook in each of spaces with gradual increase of its size and employing the ideal scheme of vector quantization with exhaustive search at each stage. The distortions versus rate relationships have been calculated based on the results of analysis in each of AEP spaces. In addition, a generalized function is proposed for approximation of the specified relationships. The technique is presented that makes it possible in each AEP space to estimate Shannon’s lower bound, the dispersion of the Gaussian equivalent source, differential entropy, redundancy, values of the weighting constant in the generalized formula of entropy, and other entropy characteristics of coding the equivalent sources (parameters of SS SEW) in these spaces. The efficiency indicators of real and potential coding of corresponding AEP are proposed and calculated. It has been shown that in conjunction with the combination of proposed efficiency indicators, the best results demonstrate spaces of line spectral parameters of highest splitting (LSP-HS and LSF-HS).

中文翻译：

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使用线性预测的不同参数评估语音编码的潜在效率

本文介绍了通过使用线性预测 (LP) 方法和使用包括线谱对的不同组替代等效参数 (AEP) 来估计语音信号 (SS) 频谱包络波形 (SEW) 潜在编码效率的结果/投影 (LSP)、线谱频率 (LSF) 和最高分裂的替代线谱参数（LSP-HS 和 LSF-HS）。这些结果是通过所提出的方法得出的，该方法基于在分析过程中使用最大帧重叠的 LP 方法进行 SS SEW 编码。它包括对这种编码方案的检查，例如在每个 AEP 空间中接近适当的模拟矢量源，在每个空间中逐步设计适当的矢量码本，并逐渐增加其大小，并在每个阶段采用矢量量化的理想方案，并进行穷举搜索。基于每个 AEP 空间的分析结果计算了失真与速率的关系。此外，还提出了一个广义函数来逼近指定的关系。提出的技术使得可以在每个 AEP 空间中估计香农下界、高斯等效源的分散、微分熵、冗余、广义熵公式中的加权常数值以及编码的其他熵特征这些空间中的等效源（SS SEW 的参数）。提出并计算了相应AEP的真实和潜在编码效率指标。已经表明，结合所提出的效率指标的组合，最好的结果证明了最高分裂（LSP-HS 和 LSF-HS）的线谱参数的空间。