Abstract
Traditional singular value decomposition (SVD) based speech enhancement algorithms are usually limited by the use of a fixed order of retained singular values which may not be optimal for time-varying noise corrupted speech signals. In this chapter, we propose the use of a Frobenius-norm (F-norm) constrained truncated (FCTSVD) algorithm in an analysis-by-synthesis procedure for choosing the appropriate order of retained singular values for speech enhancement. It allows for self-adaptation in time and for different noise and noisy speech characteristics. Also, it leads to the best approximation of original speech in terms of SNR. The proposed algorithm has been tested and compared with a traditional SVD algorithm for different noise types and levels. Simulation results show that it achieves higher SNR improvements for both additive white noise and colored noise as compared to a traditional SVD algorithm.
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References
P. Scalart and J. V. Filho, “Speech enhancement based on a priori signal to noise estimation,” Proceedings of IEEE ICASSP-96: Inter. Conf. Acoustics, Speech and Signal Processing, pp. 629–632, Atlanta, GA, 1996.
I. Y. Soon and S. N. Koh, “Improved noise suppression filter using self-adaptive estimator of probability of speech absence,” Signal Processing, vol. 75, pp. 151–159, 1999.
J. H. L. Hansen, and M. A. Clements, “Constrained iterative speech enhancement with application to speech recognition,” IEEE Transactions on Signal Processing, vol. 39, pp. 795–805, 1991.
I. Y. Soon, and S. N. Koh, “Noisy speech enhancement using discrete cosine transform,” Speech Communication, vol. 24, pp. 249–257, 1998.
I. Y. Soon, and S. N. Koh, “Speech enhancement using two dimensional Fourier transform,” to appear in IEEE Transactions on Speech and Audio Processing, 2003.
I. Y. Soon, and S. N. Koh, “Low distortion speech enhancement,” IEE Proceedings Vision, Image and Signal Processing, vol. 147, no. 3, pp. 247–253, 2000.
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. on Speech and Audio Processing, vol. 3, no. 6, pp. 439–448, 1995.
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© 2005 Springer Science + Business Media, Inc.
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Chen, G., Ngee Koh, S., Yann Soon, I. (2005). Speech Enhancement Based on F-Norm Constrained Truncated SVD Algorithm. In: Abut, H., Hansen, J.H., Takeda, K. (eds) DSP for In-Vehicle and Mobile Systems. Springer, Boston, MA. https://doi.org/10.1007/0-387-22979-5_11
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DOI: https://doi.org/10.1007/0-387-22979-5_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-22978-2
Online ISBN: 978-0-387-22979-9
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