This paper examines the structure and functional capabilities of the programmable embedded system for adaptive acoustics parameter research – AMES (Acoustic Measurement Embedded System). The core implementation platform is the PSoC 5 LP programmable system-on-chip, which provides extensive software control over acoustic parameter measurement processes. A mixed-signal conversion method based on selective charge amplification is proposed, enhancing noise immunity and measurement accuracy. The study analyzes modern approaches to adaptive acoustics and identifies key development trends in the context of automated design. The obtained results demonstrate the efficiency of the proposed system for studying the acoustic characteristics of enclosed spaces.
[1] García, Lino & Minguez Olivares, Antonio. (2013). Adaptive Acoustic. In book: Advanced in Robotics. Modeling, Control and Applications (pp.101-132). Chapter: Adaptive Acoustic Publisher: iConcept https://doi.org/10.13140/RG.2.1.4293.0720.
[2] The Workplace of 2025: Trends Shaping Sustainability, Wellness, and Acoustics. Sound masking. Eindhoven University of Technology. 2025. https://www.softdb.com/blog/workplace_2025/
[3] New Study Reveals Key Benefits of Adaptive Sound Masking for Workplaces. – Sound masking. Eindhoven University of Technology. 2024. https://www.softdb.com/blog/study-adaptive-sound-masking/
[4] "Voice Activity Detection, Noise Estimation, and Adaptive Filters for Acoustic Signal Enhancement," in Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, 2012, pp.51-85, https://doi.org/10.1002/9781118392683.ch4.
[5] Peter Vary; Rainer Martin, "Acoustic Echo Control," in Digital Speech Transmission and Enhancement, IEEE, 2024, pp.457-515, https://doi.org/10.1002/9781119060970.ch14.
[6] "Acoustic Model Training for Robust Speech Recognition," in Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, 2012, pp.347-368, https://doi.org/10.1002/9781118392683.ch13.
[7] B. Yin, "Adaptive Beamforming for Constant Modulus Signal of Interest Based on Acoustic Vector Array," 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Macau, China, 2020, pp. 1-5, https://doi.org/10.1109/ICSPCC50002.2020.9259522.
[8] N. Zou and A. Nehorai, "Circular Acoustic Vector-Sensor Array for Mode Beamforming," in IEEE Transactions on Signal Processing, vol. 57, no. 8, pp. 3041-3052, Aug. 2009, https://doi.org/10.1109/TSP.2009.2019174.
[9] W. Zheng, P. Xu, S. He and R. Tang, "Analysis of Acoustic Impedance of Duct Wall Based on Finite Element and Adaptive Evolutionary Algorithm," 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China, 2017, pp. 645-649, https://doi.org/10.1109/ICCTEC.2017.00145.
[10] P. Ahgren, "Acoustic echo cancellation and doubletalk detection using estimated loudspeaker impulse responses," in IEEE Transactions on Speech and Audio Processing, vol. 13, no. 6, pp. 1231-1237, Nov. 2005, https://doi.org/10.1109/TSA.2005.851995.
[11] S. Kono and Y. Kajikawa, "Improvement in transmission characteristics in acoustic OFDM with adaptive microphone array," 2012 International Symposium on Intelligent Signal Processing and Communications Systems, Tamsui, Taiwan, 2012, pp. 504-508, https://doi.org/10.1109/ISPACS.2012.6473542.
[12] Y. -h. Lyu, J. -y. Liu, S. -g. Gao, J. Song and M. -h. Lu, "Study on robust adaptive beamforming based on acoustic vector sensor array," OCEANS 2017 - Aberdeen, Aberdeen, UK, 2017, pp. 1-4, https://doi.org/10.1109/OCEANSE.2017.8084891.
[13] H. Xu, N. Fu, L. Qiao, W. Yu and X. Peng, "Compressive Blind Mixing Matrix Estimation of Audio Signals," in IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 5, pp. 1253-1261, May 2014, https://doi.org/10.1109/TIM.2013.2292359.
[14] L. -Y. Song et al., "Non-regression approach for the behavioral model generator in mixed-signal system verification," 2017 IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Abu Dhabi, United Arab Emirates, 2017, pp. 1-5, https://doi.org/10.1109/VLSI-SoC.2017.8203462.
[15] A. A. Deshmukh, R. Shyam Gamad and D. K. Mishra, "Fault Detection Techniques for Analog/Mixed Signal SoC design," 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), Bombay, India, 2019, pp. 1-4, https://doi.org/10.1109/I2CT45611.2019.9033900.
[16] G. Jacquemod, Z. Wei, Y. Leduc, E. de Foucauld, J. Prouvee and B. Blampey, "New design of analog and mixed-signal cells using back-gate cross-coupled structure," 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC), Cuzco, Peru, 2019, pp. 21-26, https://doi.org/10.1109/VLSI-SoC.2019.8920390.
[17] H. Kim et al., "A configurable and low-power mixed signal SoC for portable ECG monitoring applications," 2011 Symposium on VLSI Circuits - Digest of Technical Papers, Kyoto, Japan, 2011, pp. 142-143.
[18] D. H. Gawali and V. M. Wadhai, "Mixed signal SoC based Bio-Sensor Node for long term health monitoring," 2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), Pune, India, 2016, pp. 194-198, https://doi.org/10.1109/WIECON-ECE.2016.8009116.
[19] L. Szilagyi, J. Pliva, R. Henker and F. Ellinger, "A Mixed-Signal Offset-Compensation System for Multi-Gbit/s Optical Receiver Frontends," 2019 IFIP/IEEE 27th International Conference on Very Large Scale Integration (VLSI-SoC), Cuzco, Peru, 2019, pp. 46-51, https://doi.org/10.1109/VLSI-SoC.2019.8920361.
[20] S. Abdennadher, "Flow for phase locked loop mixed signal simulation and characterization using behavioral modeling," Southwest Symposium on Mixed-Signal Design, 2003., Las Vegas, NV, USA, 2003, pp. 66-70, https://doi.org/10.1109/SSMSD.2003.1190398.