Title :
Codebook constrained Wiener filtering for speech enhancement
Author :
Sreenivas, T.V. ; Kirnapure, Pradeep
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
fDate :
9/1/1996 12:00:00 AM
Abstract :
Speech enhancement using iterative Wiener filtering has been shown to require interframe and intraframe constraints in all-pole parameter estimation. We show that a clean speech VQ codebook is more effective in providing intraframe constraints and, hence, better convergence of the iterative filtering scheme. Satisfactory speech enhancement results are obtained with a small codebook of 128, and the algorithm is effective for both white noise and pink noise up to 0 dB SNR
Keywords :
Wiener filters; convergence of numerical methods; filtering theory; iterative methods; parameter estimation; speech coding; speech enhancement; vector quantisation; white noise; SNR; algorithm; all-pole parameter estimation; codebook constrained Wiener filtering; convergence; interframe constraints; intraframe constraints; iterative Wiener filtering; pink noise; speech VQ codebook; speech enhancement; white noise; 1f noise; Background noise; Convergence; Filtering; Iterative algorithms; Speech analysis; Speech enhancement; Speech processing; Speech recognition; Wiener filter;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
