自适应格型滤波器新算法及其在语音线性预测合成中的应用
A NEW ALGORITHM FOR ADAPTIVE LATTICE FILTER AND ITS APPLICATION IN THE SPEECH LINEAR PREDICTIVE SYNTHESIS
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摘要: 本文从自适应格型滤波器导出自适应线谱对(LSP)滤波,提出了使用最小均方(LMS)型自适应算法逐级更新计算线谱对系数的方法。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系数更好的结果。Abstract: An adaptive line spectral pair filter is derived from an adaptive lattice filter. A least-mean-square(LMS) type adaptive algorithm used to calculate directly the line spectral pair coefficients on a stage-by-stage is proposed. Experimental results show that the algorithm has higher convergence rate and lower misadjustment as compared with other algorithms. 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.
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