自適應(yīng)格型濾波器新算法及其在語音線性預(yù)測合成中的應(yīng)用
A NEW ALGORITHM FOR ADAPTIVE LATTICE FILTER AND ITS APPLICATION IN THE SPEECH LINEAR PREDICTIVE SYNTHESIS
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摘要: 本文從自適應(yīng)格型濾波器導(dǎo)出自適應(yīng)線譜對(LSP)濾波,提出了使用最小均方(LMS)型自適應(yīng)算法逐級更新計(jì)算線譜對系數(shù)的方法。實(shí)驗(yàn)表明,該算法與其它算法比較,具有更高的收斂率和較低的失調(diào)。用該算法計(jì)算得到的LSP系數(shù)進(jìn)行語音線性預(yù)測合成,獲得比使用PARCOR系數(shù)更好的結(jié)果。
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關(guān)鍵詞:
- 線譜對濾波器; 自適應(yīng)格型濾波器; 線性預(yù)測; LMS算法
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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