Study on Speech Enhancement(SE) Algorithms in Speaker Recognition and System Implementation 说话人识别中语音增强(SE)算法的研究和系统实现
This paper presents a speech enhancement method based on the masking properties of the human auditory system. 为提高增强语音的听觉效果,研究了一种结合维纳模型和人耳听觉掩蔽效应的语音增强(SE)方法。
Experimental data obtained in the speech quality characterization of different speech enhancement algorithms are reported and discussed. 本文中讨论了不同语音增强(SE)算法下获得的实验数据。
Noise power spectrum estimation is a fundamental component of speech enhancement. 噪声功率谱估计是语音增强(SE)系统的一个重要组成部分。
Speech Enhancement(SE) Method Based on Wavelet Transform and Kalman Filters 基于小波变换和Kalman滤波的语音增强(SE)方法