pole-model 杆系模型
two-pole model 二极点模型
all-pole model 全极点模型
two pole model 二阶极点模型
zero-pole model 零极点模型
multi-pole model 多极模型
Growth Pole Model 增长极模式
single pole model 单极点模型
dominant pole model 主极点模型
parallel-pole model 平行杆模型
By using full pole model, we obtained speech signal LPC, then deduced it's LPCC, and we used the LPCC difference to describe speaker's track dynamic movement.
通过应用全极点模型，提取语音信号的线性预测系数，并推导出其倒谱系数，获得线性预测倒谱差分，用以描述说话人声道的动态变化。
In this paper, we use full pole model to obtain speech signal LPC, then deduce it's LPCC, and we use the LPCC difference to describe speaker's track dynamic movement.
本文应用全极点模型，提取语音信号的线性预测系数，并推导出其倒谱系数，获得线性预测倒谱差分，用以描述说话人声道的动态变化。
The other methods include: The conventional method of spectrogram parameters, the zero-pole model and the fractal method, the latter two were proposed by the present authors before.
这些方法包括：传统的声谱参数法及以前提出的零极点模型法及分形分析法。
应用推荐