Title :
A priori SNR estimation based on momentum term
Author :
Ou Shi-Feng ; Wang Xian-Yun ; Sun Yan-Long ; Gao Ying
Author_Institution :
Sch. of Opto-Electron. Inf. Sci. & Technol., Yantai Univ., Yantai, China
Abstract :
In view of the parameters estimation problem of a priori SNR in speech enhancement, a new method in this paper is proposed by adding momentum term. This algorithm maintains the advantages of the direct decision algorithm in effectiveness and briefness, also improves the tracking speed of the instantaneous SNR, therefore it can further suppress the generation of musical noise. Simulation results under several noises settings show that the proposed a priori SNR estimation method based on momentum term has better performance than the direct decision method.
Keywords :
parameter estimation; speech enhancement; a priori SNR estimation; direct decision algorithm; momentum term; musical noise; parameters estimation problem; speech enhancement; tracking speed; Estimation; Signal to noise ratio; Speech; Speech enhancement; Time frequency analysis; Decision-Directed Algorithm; Momentum Term; Noise Reduction; Speech Enhancement; a priori SNR;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768