Speech denoising based on a greedy adaptive dictionary algorithm

European Signal Processing Conference

Volumn , Issue , 2009, Pages 1423-1426

  Jafari, Maria G ^a   Plumbley, Mark D ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE GAUSSIAN NOISE; PERFORMANCE IN THE PRESENCE OF NOISE; SPARSE REPRESENTATION; SPEECH DENOISING;

GAUSSIAN NOISE (ELECTRONIC); PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

ALGORITHMS;

EID: 79961187754     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. M. Vetterli, "Wavelets, approximation, and compression," IEEE Signal Processing Magazine, vol. 18, pp. 59-73, 2001.
2. S. Haykin, Neural networks: a comprehensive foundation, Prentice Hall, 2nd edition, 1999.
3. G. Yu, S. Mallat, and E. Bacry, "Audio denoising by time-frequency block thresholding," IEEE Trans. on Signal Processing, vol. 56, pp. 1830-1839, 2008.
4. C. Fevotte, B. Torresani, L. Daudet, and S. Godsill, "Sparse linear regression with structured priors and application to denoising of musical audio," IEEE Trans. on Audio, Speech, and Language Processing, vol. 16, pp. 174-185, 2008.
5. P. Huggins and S. Zucker, "Greedy basis pursuit," IEEE Transactions on Signal Processing, vol. 55, pp. 3760-3772, 2007.
6. R. Gribonval and S. Lesage, "A survey of sparse component analysis for blind source separation: principles, perspectives, and new challanges," in Proceedings of the 2006 European Symposium on Artificial Neural Networks (ESANN '06), 2006, pp. 323-330.
7. G. Davis, Adaptive nonlinear approximations, Ph.D. thesis, New York University, 1994.
8. M. Jafari and M. Plumbley, "An adaptive orthogonal sparsifying transform for speech signals," in Proc. of the Int. Symposium on Communications, Control and Signal Processing (ISCCSP '08), 2008, pp. 786-790.
9. M. Jafari and M. Plumbley, "Separation of stereo speech signals based on a sparse dictionary algorithm," in Proc. of the European Signal Processing Conference (EUSIPCO '08), 2008.
10. M. Goodwin and M. Vetterli, "Matching pursuit and atomic signal models based on recursive filter banks," IEEE Trans. on Signal Processing, vol. 47, pp. 1890-1902, 1999.
11. A. Hyvärinen, "Survey on independent component analysis," Neural Computing Surveys, vol. 2, pp. 94-128, 1999.
12. S. Haykin, Ed., Unsupervised Adaptive Filtering. Volume I: Blind Source Separation, John Wiley & Sons, 2000.