本文论述了一种基于联合源-滤波器分离的稳健声门源模型估计方法.此方法利用LF(Liljencrants-Fant)模型对声门波导数(glottal flow derivative)进行建模,而声道被描述为一个时变的ARX模型.由于联合估计问题是一个多变量非线性优化过程,本文采用了一个两阶段(two-pass)的实现策略来解决这一问题.第一阶段初始化声门源和声道模型,并为其后的联合优化过程提供稳健的初始参数.第二阶段的联合估计则最终决定模型估计的精度,由信任域下降优化算法实现.通过分别对合成和真实语音的实验,表明该方法是一种具有一定精度和较好的稳健性的声门源模型估计算法.

This paper describes a robust glottal source estimation method based on a joint source-filter separation technique.In this method,the glottal flow derivative is modelled as the Liljencrants-Fant (LF) model and the vocal tract is described as a time-varying ARX model.Since the joint estimation problem is a multi-parameter nonlinear optimization procedure,we separate the optimization procedure into two passes.The first pass initializes the glottal source and vocal tract models providing robust initial parameters to the following joint optimization procedure.The joint estimation determines the accuracy of model estimation,which is implemented with a trust-region descent optimization algorithm.Experiments with synthetic and real voices show the proposed method is a robust glottal source parameter estimation method with a considerable degree of accuracy.