Title :
Neural dual extended Kalman filtering: applications in speech enhancement and monaural blind signal separation
Author :
Wan, Eric A. ; Nelson, Alex T.
Author_Institution :
Dept. of Electr. Eng., Oregon Graduate Inst., Portland, OR, USA
Abstract :
The removal of noise from speech signals has applications ranging from speech enhancement for cellular communications, to front ends for speech recognition systems. A nonlinear time-domain method called dual extended Kalman filtering (DEKF) is presented for removing nonstationary and colored noise from speech. We further generalize the algorithm to perform the blind separation of two speech signals from a single recording
Keywords :
Kalman filters; autoregressive processes; filtering theory; neural nets; noise; nonlinear filters; speech enhancement; state estimation; state-space methods; cellular communications; colored noise; monaural blind signal separation; neural dual extended Kalman filtering; nonlinear time-domain method; nonstationary noise; speech enhancement; speech recognition systems; speech signals; Additive noise; Filtering; Integrated circuit modeling; Kalman filters; Neural networks; Signal processing; Speech enhancement; Speech processing; State estimation; Time domain analysis;
Conference_Titel :
Neural Networks for Signal Processing [1997] VII. Proceedings of the 1997 IEEE Workshop
Conference_Location :
Amelia Island, FL
Print_ISBN :
0-7803-4256-9
DOI :
10.1109/NNSP.1997.622428
