基于短时能量—LPCC的语音特征提取方法研究

Research on a Speech Signal Feature Extraction Method Based on the Short-time Energy-LPCC

为了提高语音信号的识别率,提出了一种基于短时能量—LPCC的语音特征提取方法。该方法在LPCC参数的基础上,增加每帧信号的短时能量信息,使得新参数能够更为准确的表征语音信号。通过仿真实验,说明了新特征参数取得了较高的识别率。

In order to improve the speech recognition rate,a speech signal feature extraction method based on the short-time energy-LPCC is proposed.The short-time energy Information of each frame signal based on LPCC parameters are increased in the method,which make the new parameters can provide a more accurate representation of speech signals.The new feature parameters obtains high recognition rate is explained through the simulation experiments.