Abstract
The study suggests a hybrid Active Noise Cancellation (ANC) system that combines Secondary-path Filtered Active Noise Control (SF-ANC) and a Fuzzy Adaptive Neuro-Fuzzy Inference System (FxANFIS) to improve the noise reduction performance. The approach offers an efficiency of noise cancellation that is 25% greater than what can be achieved using traditional ANC systems, particularly when handling nonlinear and dynamic patterns of noises. Even though the primary focus is audio noise cancellation, the techniques developed here can potentially be applied to image processing domains, such as image signal noise reduction, where adaptive filtering and fuzzy logic may be applied to enhance image quality. Conventional ANC techniques are inadequate when nonlinear and dynamic noise behavior is managed, especially in real-time. The approach in the study responds to this challenge through the utilization of SF-ANC for cancelling broadband noise and supporting it with FxANFIS to deal with the nonlinear dynamics of the noise. A weighted output strategy is utilized with 60% output from SF-ANC and 40% output from FxANFIS, using a hyperbolic tangent function to guarantee stability. The system is deployed on an embedded Raspberry Pi 4 with computation and low-latency capability. Performance comparisons under different acoustic conditions show the suppression of major noise, and the system has realistic applications in real-time areas like industrial noise control and personal audio amplification. The proposed technique provides a balance between accuracy, flexibility, and efficiency compared to traditional ANC techniques.
References
Liu, H., Liu, S., A. A. Shkel, and E. S. Kim. "Active Noise Cancellation with MEMS Resonant Microphone Array." Journal of Microelectromechanical Systems 29, no. 5 (October 2020): 839-845.
Ma, Y., Y. Xiao, B. Huang, T. Bai, and X. Tan. "A Robust Feedback Active Noise Control System with Online Secondary-Path Modeling." IEEE Signal Processing Letters 29 (2022): 1042-1046.
Tan, L., and J. Jiang. Digital Signal Processing: Fundamentals and Applications. 3rd ed. Amsterdam: Elsevier, 2018.
Guo, X., Y. Li, J. Jiang, C. Dong, S. Du, and L. Tan. "Sparse Modeling of Nonlinear Secondary Path for Nonlinear Active Noise Control." IEEE Transactions on Instrumentation and Measurement 67, no. 3 (March 2018): 482-496.
Casebeer, Jonah, Nicholas J. Bryan, and Paris Smaragdis. "Meta-AF: Meta-Learning for Adaptive Filters." IEEE/ACM Transactions on Audio, Speech, and Language Processing 31 (2023).
Dubey, S., and A. Kolhe. "A Novel Hybrid Technique for Acoustic Echo Cancellation and Noise Reduction Using LMS Filter and ANFIS-Based Nonlinear Filter." International Research Journal of Engineering and Technology (IRJET) 3, no. 5 (May 2016): 1340. e-ISSN: 2395-0056, p-ISSN: 2395-0072.
Halimeh, M. M., C. Huemmer, and W. Kellermann. "A Neural Network-Based Nonlinear Acoustic Echo Canceller." IEEE Signal Processing Letters 26, no. 12 (2019): 1827-1831.
Ling, Qianhua, Mohammad Asif Ikbal, and P. Kumar. "Optimized LMS Algorithm for System Identification and Noise Cancellation." Journal of Intelligent Systems 30 (2021): 487-498. Published by De Gruyter.
Martinek, Radek, Michal Kelnar, Jan Vanus, Petr Bilik, and Jan Zidek. "A Robust Approach for Acoustic Noise Suppression in Speech Using ANFIS." Journal of Electrical Engineering 66, no. 6 (2015): 301–310.
Duttweiler, D. L. "Proportionate Normalized Least-Mean-Squares Adaptation in Echo Cancelers." IEEE Transactions on Speech and Audio Processing 8, no. 5 (2000): 508–518.
Kuo, S. M., and D. R. Morgan. "Active Noise Control: A Tutorial Review." Proceedings of the IEEE 87, no. 6 (June 1999): 943-973.
Zhang, Qi-Zhi, and Woon-Seng Gan. "Active Noise Control Using a Simplified Fuzzy Neural Network." Department of Computer Science and Automation, Beijing Institute of Machinery, vol. 2865, Beijing, China, and School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 2003.
Gan, W. S., S. Mitra, and S. M. Kuo. "Adaptive Feedback Active Noise Control Headset: Implementation, Evaluation and Its Extensions." IEEE Transactions on Consumer Electronics 51, no. 3 (August 2005): 975-982.
Kajikawa, Y., W. S. Gan, and S. M. Kuo. "Recent Advances on Active Noise Control: Open Issues and Innovative Applications." APSIPA Transactions on Signal and Information Processing 1 (2012): 1-21.
Akhtar, S., and W. Marzuki. "On Active Noise Control Systems with Online Acoustic Feedback Path Modeling." IEEE Transactions on Audio, Speech, and Language Processing 17, no. 4 (May 2009): 566–577.
Montoya, J. M., S. Elliott, and J. Cheer. "Hybrid Feedforward-Feedback Active Noise Control for Hearing Protection and Communication." The Journal of the Acoustical Society of America 141, no. 3 (2017): 1478–1488.
Wu, M., G. Chen, and X. Qiu. "An Improved Active Noise Control Algorithm Without Secondary Path Identification Based on the Frequency-Domain Subband Architecture." IEEE/ACM Transactions on Audio, Speech, and Language Processing 16, no. 8 (November 2008): 1409-1419.
Serizel, R., M. Moonen, J. Wouters, and S. H. Jensen. "Integrated Active Noise Control and Noise Reduction in Hearing Aids." IEEE Transactions on Audio, Speech, and Language Processing 18, no. 6 (August 2010): 1137-1146.
Kirubakaran, J., P. Vedhanath, P. Lakshman, and Y. Surya Ashok. "Detection of Blood Cancer Cells Using Microscopic Image." Journal of Innovative Image Processing 6, no. 2 (2024): 164-173.