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首页> 外文期刊>European transactions on telecommunications >Volterra Adaptive Prediction of Speech with Application to Waveform Coding
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Volterra Adaptive Prediction of Speech with Application to Waveform Coding

机译：Volterra语音自适应预测及其在波形编码中的应用

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摘要

Recent studies have shown that the airflow in the vocal tract is highly unstable and oscillates between its walls. Therefore linear prediction speech analysis, which is based on laminar airflow hypothesis, leads to approximate representations. This paper deals with nonlinear speech modeling and its exploitation to high quality medium-rate coding. We first give evidence that the nonlinearities in speech can be described by a second-order finite memory Volterra operator. An algorithm for performing adaptive nonlinear prediction is described. Application of the algorithm to speech coding is then reported and stability and computational issues are discussed. Performance evaluations and comparisons with linear predictive speech coding are reported and show that improvements in coding performances can be obtained.
机译：最近的研究表明，声道中的气流高度不稳定，并且在其壁之间振荡。因此，基于层流假说的线性预测语音分析可得出近似表示。本文涉及非线性语音建模及其对高质量中速率编码的利用。我们首先给出证据，语音中的非线性可以由二阶有限记忆Volterra算子描述。描述了用于执行自适应非线性预测的算法。然后报告了该算法在语音编码中的应用，并讨论了稳定性和计算问题。报告了性能评估和与线性预测语音编码的比较，结果表明可以提高编码性能。

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