Noise Reduction and Speech Enhancement Using Wiener Filter
Author:
Affiliation:
1. Telkom University,School of Computing,Bandung,Indonesia
2. University of Palestine,Palestine
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9862524/9862530/09862912.pdf?arnumber=9862912
Reference17 articles.
1. Using a multichannel Wiener filter to remove eye-blink artifacts from EEG data
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5. Fractional fourier transform for decreasing seismic data lossy compression distortion
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2. Adaptive Harmonic Plus Noise Model (A-HNM) Analysis for Noise Reduction in Speech Signal;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24
3. Speech Improvement Algorithm based on Noisy Speech Minimum Statistical Estimation Method;The Journal of Korean Institute of Information Technology;2023-05-31
4. Convolutional Deep Neural Network and Full Connectivity for Speech Enhancement;International Journal of Online and Biomedical Engineering (iJOE);2023-04-03
5. A Comprehensive Investigation into The Noise Reduction Techniques for Speech;2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI);2023-01-19
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