A recursive speech enhancement system employing Laplacian speech model

TitleA recursive speech enhancement system employing Laplacian speech model
Publication TypeConference Paper
Year of Publication2004
AuthorsZhang, W., and T. Aboulnasr
Conference NameHaptic, Audio and Visual Environments and Their Applications, 2004. HAVE 2004. Proceedings. The 3rd IEEE International Workshop on
Pagination135 - 139
Date Publishedoct.
KeywordsGaussian distribution, Laplacian factor, Laplacian speech model, Laplacian-Gaussian mixture model, noisy speech signal, recursive estimation, recursive speech enhancement system, speech enhancement

A new recursive approach for speech enhancement is proposed in This work. The speech is enhanced based on the Laplacian-Gaussian mixture model, where the Laplacian factor was estimated using the noisy speech signal. The proposed algorithm uses the enhanced signal to estimate the Laplacian factor resulting in a better estimate. Then the original speech is enhanced again with this estimate, recursively. The results show that the quality of the speech can be improved with this recursive approach, if the number of iterations is carefully selected.


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