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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
양성일
Issue Date
2002-12
Publisher
한국음향학회
Citation
The journal of the Acoustical Society of Korea, v. 21, no. 4E, 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/20.500.11754/158026
ISSN
1225-4428
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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