Speech Enhancement Using Generalized Least Absolute Deviation Estimation
Based on a novel generalized least absolute devia tion (GLAD) method, this paper proposes an effective speech enhancement algorithm for the removal of noise from speech signal. Parameters of speech signal mod eled as autoregressive (AR) process are well estimated by the GLAD method and thus the speech signal can be well recovered from Kalman filtering. Simulation results show that the proposed GLAD-estimation-based algo rithm possesses indeed good speech enhancement per formance than the Kalman filtering algorithms based on the second-order estimation and the high-order estima tion.
Youshen Xia Yin Yu
College of Mathematics and Computer Science,Fuzhou University, Fuzhou, China
国际会议
上海
英文
64-68
2010-10-20（万方平台首次上网日期，不代表论文的发表时间）