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一种自适应线谱对滤波器的新算法及在线性预测中的应用
引用本文:江太辉. 一种自适应线谱对滤波器的新算法及在线性预测中的应用[J]. 五邑大学学报(自然科学版), 1995, 0(3)
作者姓名:江太辉
作者单位:五邑大学信息科学研究室
摘    要:本文从自适应格型滤波器导出自适应线谱对(LSP)滤波器,使用最小均方(LMS)型自适应算法逐级更新计算线谱对系数。实验表明。该算法与其它算法比较,具有更高的收敛率和较低的失调。用该算法计算得到的LSP系数进行语音线性预测合成,获得比使用PARCOR系数更好的效果。

关 键 词:线谱对滤波器;自适应格型滤波器;线性预测;LSM算法

A New Algorithm of Adaptive Line Spectral Pair Filter and its Application on the Linear Prediction
Jiang Taihui. A New Algorithm of Adaptive Line Spectral Pair Filter and its Application on the Linear Prediction[J]. Journal of Wuyi University(Natural Science Edition), 1995, 0(3)
Authors:Jiang Taihui
Affiliation:Jiang Taihui
Abstract:In this paper, an adaptive Line Spectral Pair (LSP) filter is derived from an adaptive lattice filter. A lesst-mean-square(LSP) type adaptive algorithm is used to calculate directly the line spectral pair coefficients on a stage-by-stage basis. Experimental resuets show that the algorithm has higher convergence rate and lower misadjustment as compared with the other algorithm.Using LSP coefficients calculated by the algorithm, speech linear predictive synthesis work has been carried out, and better results have been obtained as compared with that using PARCOR coefficients.
Keywords:Line Spectral Pair Filter  Adaptive Lattice Filter  Livear Prediction  LMS Algorithm  
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