如何准确的建立声道模型和激励模型成为中低速语音编码的关键。
The accurate description of track model and excitation model is the key of the Medium-low rate speech coding.
LPC声码器在准确提取声道参数的情况下，激励模型的优劣直接影响着综合语音的质量。
When LPC vocoder exactly extracts vocal tract parameters, whether an excitation model is good of not will severoly affect the quality of the synthetic speech.
科学家们随后用这些数据建立了一个猴子声道的电脑模型，从而使得他们回答这一问题--“如果猴子长了人脑，那么它们的语言是什么样的？”
The scientists then used these data to build a computer model of a monkey vocal tract 2, allowing them to answer the question "what would monkey speech sound like, if a human brain were in control?"
该模型405是一款高性能2声道唱机前置放大器为专业应用而设计的。
The model 405 is a high performance two-channel phono pre-amplifier designed for use in professional applications.
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。
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.
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。
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。
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.
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