中文摘要：

一个辅助向量粒子过滤器被建议到现在元音的道回声(磁带录象器) tracking.It 基于描述讲话 signal.The 的特征的州空间的模型的一个版本使用粒子过滤器讲话模型由指导目标的动态功能和从回声频率和带宽印射到 LPC cepstra 的非线性的预言组成( LPCC ) .There 是在建议 method.First 的二个特征，粒子过滤技术向前被放解决非线性的 proble

英文摘要：

An auxiliary vector particle filter was proposed to present the vocal tract resonances （VTRs） tracking. It uses particle filter based on a version of state-space model that describes the characteristics of speech signal. The speech model consists of a target-guided dynamic function and a non-linear prediction mapping from resonance frequencies and bandwidths to LPC cepstra （LPCC）. There are two characteristics in the proposed method. First, particle filtering technique is put forth to solve the non-linear problem of speech model. Second, an auxiliary vector, embedded in the state function of speech model, is applied to incorporate the most current observations and to generate the proposal distribution of particle filter. The experimental results show that this method is able to track the VTRs of continuous speech utterance efficiently with a small number of particles and able to solve the problem of spurious peaks and merging peaks.