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Accurate Power Spectrum Estimation of Speech with Spectrum Compensation Based on Prediction Error Filtering

机译:基于预测误差滤波的频谱补偿准确功率谱估计

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摘要

This paper proposes a linear prediction (LP) method to estimate accurately the original power spectrum of the input speech signal. A prediction error filter (PEF) is used as a pre-processor, and the LP based power spectrum estimation is compensated by the frequency characteristics of the designed PEF. Through experiments on synthetic vowels, we show that the proposed spectrum compensation method can estimate the power spectrum more accurately than the direct and pre-emphasis LP methods.
机译:本文提出了一种线性预测(LP)方法来估计输入语音信号的原始功率谱。 预测误差滤波器(PEF)用作预处理器,并且通过设计PEF的频率特性来补偿基于LP的功率谱估计。 通过对合成元音的实验,我们表明所提出的频谱补偿方法可以比直接和预重量的LP方法更准确地估计功率谱。

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