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Adaptive Wavelet Denoising For Speech Rocognition in Car Interior Noise

Title
Adaptive Wavelet Denoising For Speech Rocognition in Car Interior Noise
Author
권영헌
Issue Date
2002-07
Publisher
한국음향학회
Citation
한국음향학회지, v. 21, issue. 4, page. 178-182
Abstract
In this paper, we propose an adaptive wavelet method for car interior noise cancellation. For this purpose, we use a node dependent threshold which minimizes the Bayesian risk. We propose a noise estimation method based on spectral entropy using histogram of intensity and a candidate best basis instead of Donoho's best bases. And we modify the hard threshold function. Experimental results show that the proposed algorithm is more efficient, especially to heavy noisy signal than conventional one.
URI
https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=JAKO200211921990180https://repository.hanyang.ac.kr/handle/20.500.11754/157556
ISSN
1225-4428; 2287-3775
Appears in Collections:
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > APPLIED PHYSICS(응용물리학과) > Articles
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