Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement

IEEE Transactions on Speech and Audio Processing

Volumn 13, Issue 3, 2005, Pages 309-320

  Hoya, Tetsuya ^a   Tanaka, Toshihisa ^a   Cichocki, Andrzej ^a,b   Murakami, Takahiro ^c   Hori, Gen ^a   Chambers, Jonathon A ^d  

^a Laboratory for Advanced Brain Signal Processing   (Japan)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c MEIJI UNIVERSITY   (Japan)

^d CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Sliding subspace projection; Speech enhancement; Stereophonic noise reduction

Indexed keywords

ADAPTIVE FILTERING; COMPUTER SIMULATION; CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; ESTIMATION; MATRIX ALGEBRA; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPEECH PROCESSING; STEREOPHONIC RECORDINGS;

ADAPTIVE SIGNAL ENHANCEMENTS; SLIDING SUBSPACE PROJECTION; SPEECH ENHANCEMENTS; STEREOPHONIC NOISE REDUCTION;

NOISE ABATEMENT;

EID: 18744413281     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.845792     Document Type: Article

References (31)

1. R. Martin, "Spectral subtraction based on minimum statistics," in Proc. EUSIPCO-94, Edinburgh, U.K., 1994, pp. 1182-1185.
2. F. Xie and D. Van Compernolle, "Speech enhancement by spectral magnitude estimation - A unifying approach," Speech Commun., vol. 19, no. 2, pp. 89-104, Aug. 1996.
3. H. Gustafsson, S. Nordholm, and I. Claesson, "Spectral subtraction using dual microphones," in Int. Workshop on Acoustic Echo and Noise Control, Sep. 1999, pp. 60-63.
4. R. Martin, "Noise power spectral density estimation based on optimal smoothing and minimum statistics," IEEE Trans. Speech Audio Process., vol. 9, no. 5, pp. 504-512, Jul. 2001.
5. Gustafsson et al., "System and Method for Dual Microphone Signal Noise Reduction Using Spectral Subtraction," U.S. Patent 6549586, Apr. 2003.
6. S. Haykin, Unsupervised Adaptive Filtering. New York: Wiley, 2000, vol. I & II.
7. S. Amari and A. Cichocki, "Adaptive blind signal processing - Neural network approaches," Proc. IEEE, vol. 86, pp. 2026-2048, Oct. 1998.
8. K. Torkkola, "Blind separation of delayed sources based on information maximization," in Proc. ICASSP-96, 1996, pp. 3509-3512.
9. H. L. N. Thi and C. Jutten, "Blind source separation for convolutive mixtures," Signal Process., vol. 45, no. 2, pp. 209-229, 1995.
10. C. Jutten and J. Herault, "Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture," Signal Process., vol. 24, no. 1, pp. 1-10, 1991.
11. P. A. Karjalainen, J. P. Kaipio, A. S. Koistinen, and M. Vuhkonen, "Subspace regularization method for the single-trial estimation of evoked potentials," IEEE Trans. Biomed. Eng., vol. 40, pp. 849-860, Jul. 1999.
12. T. Kobayashi and S. Kuriki, "Principle component elimination method for the improvement of S/N in evoked neuromagnetic field measurements," IEEE Trans. Biomed. Eng., vol. 46, pp. 951-958, Aug. 1999.
13. M. Dendrinos, S. Bakamidis, and G. Carayannis, "Speech enhancement from noise: A regenerative approach," Speech Commun., vol. 10, pp. 45-57, Feb. 1991.
14. Y. Ephraim and H. L. V. Trees, "A signal subspace approach for speech enhancement," IEEE Trans. Speech Audio Process., vol. 3, no. 4, pp. 251-266, Jul. 1995.
15. S. H. Jensen, P. C. Hansen, S. D. Hansen, and J. A. Sorensen, "Reduction of broad-band noise in speech by truncated QSVD," IEEE Trans. Speech Audio Process., vol. 3, pp. 439-448, Nov. 1995.
16. P. S. K. Hansen, "Signal Subspace Methods for Speech Enhancement," Ph.D. dissertation, Technical Univ. Denmark, Lyngby, 1997.
17. F. Asano, S. Hayamizu, T. Yamada, and S. Nakamura, "Speech enhancement based on the subspace method," IEEE Trans. Speech Audio Process., vol. 8, no. 5, pp. 497-507, Sep. 2000.
18. S. Doclo and M. Moonen, "Multi-microphone noise reduction using GSVD-based optimal filtering with ANC postprocessing stage," in Proc. 9th IEEE Digital Sig. Proc. Workshop, Hunt, TX, USA, Oct. 2000.
19. _, "GSVD-based optimal filtering for single and multimicrophone speech enhancement" IEEE Trans. Signal Processing, vol. 50, no. 9, pp. 2230-2244, Sep. 2002.
20. S. Haykin, Adaptive Filter Theory, 2nd ed. Englewood Cliffs, NJ: Prentice-Hall, 1991.
21. A. Cichocki, R. R. Gharieb, and T. Hoya, "Efficient extraction of evoked potentials by combination of Wiener filtering and subspace methods," in Proc. ICASSP-2001, vol. 5, Salt Lake City, UT, May 2001, pp. 3117-3120.
22. P. K. Sadasivan and D. N. Dutt, "SVD based technique for noise reduction in electroencephalographic signals," Signal Process., vol. 55, no. 2, pp. 179-189, 1996.
23. A. Cichocki and S. Amari, Adaptive Blind Signal And Image Processing. New York: Wiley, 2002.
24. J. A. Apolinario, M. L. R. de Campos, and P. S. R. Diniz, "Convergence analysis of the binormalized data-reusing LMS algorithm," in Proc. European Conference on Circuit Theory and Design, Budapest, Hungary, Sep. 1997, pp. 972-977.
25. N. Forsyth, J. A. Chambers, and P. A. Naylor, "A noise robust alternating fixed-point algorithm for stereophonic acoustic echo cancellation," Electron. Lett., vol. 35, no. 21, pp. 1812-3, Oct. 1999.
26. P. C. Hansen and S. H. Jensen, "FIR filter representation of reducedrank noise reduction," IEEE Trans. Signal Process., vol. 46, no. 6, pp. 1737-1741, Jun. 1998.
27. D. Callaerts, J. Vandewalle, W. Sansen, and M. Moonen, "On-Line algorithm for signal separation based on SVD," in SVD and Signal Processing-Algorithms, Applications and Architectures. New York: Elsevier, 1988, vol. 1, pp. 269-275.
28. C. C. Ko and C. S. Siddharth, "Rejection and tracking of an unknown broadband source in a two-element array through least square approximation of inter-element delay," IEEE Signal Processing Lett., vol. 6, no. 5, pp. 122-125, May 1999.
29. C. Hugonnet and P. Walder, Stereophonic Sound Recording - Theory and Practice. New York: Wiley, 1998.
30. J. R. Deller, Jr, J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals. New York: Macmillan, 1993.
31. R. Le Bouquin-Jennes, A. A. Akbari, and G. Faucon, "Enhancement of speech degraded by coherent and incoherent noise using a cross-spectral estimator," IEEE Trans. Speech Audio Process., vol. 5, no. 5, pp. 484-487, Sep. 1997.