Abstract
In view of the problem of a priori SNR estimation in speech enhancement, a novel algorithm is proposed in this paper. Through adding momentum term, the presented algorithm maintains the advantages of indirect decision algorithm in effectiveness, and improves the tracking speed of instantaneous SNR with the elimination of musical noise. Simulation results demonstrate that the algorithm possesses good performance in many kinds of noise conditions.
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© 2011 Springer-Verlag Berlin Heidelberg
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Deng, C., Liu, Xr., Liu, Hm., Wang, Zh. (2011). Noisy Speech Enhancement Using a Novel a Priori SNR Estimation. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_23
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DOI: https://doi.org/10.1007/978-3-642-23756-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23755-3
Online ISBN: 978-3-642-23756-0
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