Digital Signal Processing Reference
In-Depth Information
CONCLUSIONS
In this chapter, the use of a Frobenius-norm (F-norm) constrained
truncated (FCTSVD) algorithm in an analysis-by-synthesis procedure has
been investigated 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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