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Content Provider | IEEE Xplore Digital Library |
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Author | Xuefei Liu Linlin Lu |
Copyright Year | 2009 |
Abstract | Speech recognition accuracy tends to drop down in strong noisy conditions. Accordingly, useful signals may be eliminated if the coefficients are processed with the same wavelet threshold. To solve this problem, a weighting threshold optimization method is proposed. The weighting is optimized according to the relativity of wavelet coefficients in each decomposed layer so that the denoising threshold can be more accurate. The useful speech signals can be reserved completely. The signals anti-interference ability can also be enhanced. an get a better performance especially at adverse conditions. |
Starting Page | 314 |
Ending Page | 317 |
File Size | 323285 |
Page Count | 4 |
File Format | |
ISBN | 9780769536996 |
DOI | 10.1109/APCIP.2009.213 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-07-18 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Noise reduction Optimization methods wavelet transform denoising algorithim Frequency estimation Discrete wavelet transforms Noise level correlation principle weighting threshold speech recognition Working environment noise Speech recognition Speech enhancement Signal processing Discrete cosine transforms |
Content Type | Text |
Resource Type | Article |
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