Wavelet based speech enhancement using two different threshold-based denoising algorithms

Canadian Conference on Electrical and Computer Engineering

Volumn 1, Issue , 2004, Pages 0315-0318

  Lallouani, A ^a   Gabrea, M ^a   Gargour, C S ^a  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

Denoising; Threshold; Wavelet

Indexed keywords

ACOUSTIC NOISE; ALGORITHMS; DATABASE SYSTEMS; FOURIER TRANSFORMS; IMAGE PROCESSING; SIGNAL PROCESSING;

DENOISING; NOISE SUPPRESSION; SPEECH DENOISING; THRESHOLD;

WAVELET TRANSFORMS;

EID: 4944257881     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. S. Chang, Y. Kwon, S. Yang, and I. Kim, Speech Enhancement for non-stationnary noise environment by adaptive wavelet packet, Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02), vol. 1, pp. 561-564, 2002.
2. D. L. Donoho, Denoising by soft thresholding, IEEE Trans. on Information Theory, vol. 41: no3, pp. 613-627, 1995.
3. I. Daubecbie, Ten lectures on wavelets, Society for Ind stria and App led Mat ematics (SIAM), vol. 61, 1992.
4. I. M. Johnstone and B.W Silverman, Wavelet threshold estimators for data with correlated noise. Roy. Statist. Soc. B, 59: 319-351, 1997.
5. D.L. Donoho and I.M. Johnstone, Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol. 81, no. 3, pp. 425-455, 1994.
6. Y. Hu and P.C. Loizou, Speech Enhancement Based on Wavelet Thresholding the Multitaper Spectrum, IEEE Trans. on Speec and A dio Processing, vol. 12, no. 1, pp. 59-67, 2004.
7. W.M. Fisher, G.R. Doddington, and K.M. Goudie-Marshall, The DARPA speech recognition research database: Specifications and status, hi Proc. DARPA Speech Recognition Workshop, pp. 93-99, 1986.