unvoiced speech

基本解釋

First, the characteristics of the unvoiced speech is analyzed;
首先分析了氣聲發(fā)音的語(yǔ)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.
實(shí)驗(yàn)證明，增強(qiáng)后的語(yǔ)音信號(hào)信噪比有一定提高，且優(yōu)于傳統(tǒng)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.
該算法結(jié)合了聲學(xué)分類，對(duì)噪聲、清音和濁音加以區(qū)分，最后給出了仿真結(jié)果，證明其穩(wěn)健性和有效性。