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[bibtex]@InProceedings{Feng_2024_WACV, author = {Feng, Yarong and Liu, Zongyi and Luo, Shunyan and Ling, Yuan and Dong, Shujing and Wang, Shuyi and Ferry, Bruce}, title = {Noise-Free Audio Signal Processing in Noisy Environment: A Hardware and Algorithm Solution}, booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops}, month = {January}, year = {2024}, pages = {368-373} }
Noise-Free Audio Signal Processing in Noisy Environment: A Hardware and Algorithm Solution
Abstract
Dealing with background noise is a challenging task in audio signal processing, negatively impacting algorithm performance and system robustness. In this paper, we propose a simple solution that combines recording hardware modification and algorithm improvement to tackle the challenge. The proposed solution could produce clean and noise-free high quality audio recording even in noisy recording environment. Experiment results show that the proposed solution leads to better sound event detection accuracy and speech recognition results.
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