Novel Laplacian Factor Estimation Algorithm for Speech Enhancement
Based on the property of generalized Gaussian distribution model and its shape parameter, a novel approach for Laplacian factor estimation is presented, which indirectly attains the estimation of Laplacian factor using its relation with the variance of clean speech components. As for the estimation for speech components variance, a new algorithm is used by making use of the noisy speech components and clean speech variance in previous frame to compute the current frames speech variance. By combining the given two approaches, the estimated Laplacian factor can not be affected by noise components energy and the obtained result keeps accurate. Simulation results demonstrate that the proposed algorithm possesses good performance under different kinds of noise.
speech enhancement Laplacian model discrete cosine transform
Ou Shifeng Gao Ying Wang Xianyun Zhao Xiaohui
Institute of Science and Technology for Opto-electronic Information, Yantai University, Yantai, Chin College of Communication, Jilin University, Changchun, China
国际会议
武汉
英文
678-682
2010-06-06（万方平台首次上网日期，不代表论文的发表时间）