Noise-Free Audio Signal Processing in Noisy Environment: A Hardware and Algorithm Solution

Yarong Feng, Zongyi Liu, Shunyan Luo, Yuan Ling, Shujing Dong, Shuyi Wang, Bruce Ferry

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.