一种基于GMM和多项式拟合的语音编码改进算法

An Improved Speech Coding Algorithm Based on GMM and Polynomial Fitting

提出一种基于高斯混合模型和多项式拟合的语音编码改进算法.在GMM模型对短时语音谱包络进行参数化的基础上,将一定数量的语音帧划分为一个片段,利用谱特征的相关性对片段内的GMM参数进行多项式拟合联合编码,从而使得参数进一步减少.仿真结果表明,本文算法码率对比基于GMM的语音编码器有显著降低.

A vocoder is proposed basing on polynomial fitting and Gaussian Mixture Model（pframes are collected into a segment after using GMM model to parameterize the short-time speech spectrum envelope. The polynomial trajectory is used to fit the parameters of GMM in a segment according to the correlation between neighboring frames, thus reducing the number of parameters. The results show that the bit contrast with the vocoder based on GMM.