DocumentCode
2861809
Title
Speech enhancement based on second-order architecture and maximum entropy algorithm
Author
Xiao, Yu ; Guangrui, Hu
Author_Institution
Dept. of Electr. Eng., Shanghai Jiaotong Univ., China
fYear
1998
fDate
1998
Firstpage
572
Abstract
Based on the idea of adaptive noise cancellation (ANC), a second-order architecture is proposed for speech enhancement. According to the information maximization theory, the gradient descent algorithm is proposed. By using real speech signals, the simulation results demonstrate that the new algorithm has good performance in speech enhancement. The main advantage of the proposed architecture is that a clean speech signal can be obtained with less filter distortion
Keywords
adaptive filters; filtering theory; gradient methods; interference suppression; maximum entropy methods; optimisation; speech enhancement; adaptive noise cancellation; filter distortion; gradient descent algorithm; information maximization theory; maximum entropy algorithm; performance; second-order architecture; simulation results; speech enhancement; Computer architecture; Distortion; Entropy; Feedback; Filters; Noise cancellation; Signal processing; Source separation; Speech enhancement; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770276
Filename
770276
Link To Document