Speech Denoising Based on Wavelet Transform and Wiener Filtering-Reference-Cited by-同舟云学术

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Speech Denoising Based on Wavelet Transform and Wiener Filtering

Published:2023-10-23 Issue: Volume:3 Page:43-46
ISSN:
Container-title:2023 8th International Conference on Frontiers of Signal Processing (ICFSP)
language:
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Author:

Joorabchi Marjan¹,Ghorshi Seyed²,Naderahmadian Yashar³

Affiliation:

1. Sharif University of Technology – International Campus,School of Science and Engineering,Kish Island,Iran

2. The University of Texas at Tyler,Department of Electrical and Computer Engineering,Tyler,Texas,USA

3. University of Guilan,Deparment of Electrical Engineering,Rasht,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10372870/10372874/10372899.pdf?arnumber=10372899

Reference15 articles.

1. Suppression of acoustic noise in speech using spectral subtraction

2. Speech enhancement using a minimum mean-square error log-spectral amplitude estimator

3. Statistical model‐based speech enhancement systems

4. Wavelet for speech denoising

5. Applications of Wavelet Transform in Speech Processing: A Review;Nair;in International Journal of Engineering Research & Technology (IJERT),2015

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