Abstract | ||
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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. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-23756-0_23 | ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2 |
Keywords | DocType | Volume |
speech enhancement,DD,Wiener filtering,priori SNR,noise reduction | Conference | 105 |
Issue | ISSN | Citations |
null | 1867-5662 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chao Deng | 1 | 282 | 35.14 |
Xiao-Rui Liu | 2 | 0 | 0.34 |
Hong-Min Liu | 3 | 11 | 1.99 |
Zhiheng Wang | 4 | 221 | 22.37 |