unvoiced speech

基本解释

First, the characteristics of the unvoiced speech is analyzed;
首先分析了气声发音的语音特征；
The experimental results show that the SNR of enhanced speech signal is improved to some ex-tent, and the Unvoiced-Voiced Model is more effective than LPC model.
实验证明，增强后的语音信号信噪比有一定提高，且优于传统的LPC模型。
This algorithm classifies the speech signal into noise, voiced and unvoiced sounds by using the phonetic classification. The simulation result proves its validity and robustness.
该算法结合了声学分类，对噪声、清音和浊音加以区分，最后给出了仿真结果，证明其稳健性和有效性。