A NEW ALGORITHM FOR ADAPTIVE LATTICE FILTER AND ITS APPLICATION IN THE SPEECH LINEAR PREDICTIVE SYNTHESIS
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

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.