Toward a Tunable AlN-Based Piezoelectric MEMS Microphone: Design, Characterization, and Analysis
This work introduces a novel tunable piezoelectric MEMS microphone, featuring a fully clamped membrane and dual-sensing electrodes. The device achieves a baseline sensitivity of -39.31 dB, with tunability enabled by a DC tuning mechanism. The key innovations of this subject include: 1) a discrete el...
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Published in | Journal of microelectromechanical systems Vol. 34; no. 4; pp. 432 - 442 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.08.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1057-7157 1941-0158 |
DOI | 10.1109/JMEMS.2025.3558897 |
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Abstract | This work introduces a novel tunable piezoelectric MEMS microphone, featuring a fully clamped membrane and dual-sensing electrodes. The device achieves a baseline sensitivity of -39.31 dB, with tunability enabled by a DC tuning mechanism. The key innovations of this subject include: 1) a discrete electrode design enabling simultaneous tuning of sensitivity and resonant frequency while preserving acoustic sensing functionality; 2) utilizing the reverse piezoelectric effect to achieve large tunable ranges with minimal tuning voltages; and 3) a cost-effective performance tuning methodology that eliminates the need for structural modifications; 4) ascertain the tuning mechanism. Furthermore, a refined equivalent circuit model provides insights into the electromechanical behavior of the device, enabling the optimization of tunable microphones and acoustic transducers. Experimental results demonstrate the tuning ability successfully. The acoustic experiment shows that the output amplitude can be changed by up to 182.18% under ±0.5 V DC tuning under 1 kHz acoustic input. The electrical experiment reveals a maximum resonant frequency change of 6.85% with ±10 V DC. The proposed microphone is a promising candidate to be employed in many next-generation audio applications, such as adaptive voice systems, AI-driven speech recognition, and noise cancellation.[2025-0005] |
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AbstractList | This work introduces a novel tunable piezoelectric MEMS microphone, featuring a fully clamped membrane and dual-sensing electrodes. The device achieves a baseline sensitivity of -39.31 dB, with tunability enabled by a DC tuning mechanism. The key innovations of this subject include: 1) a discrete electrode design enabling simultaneous tuning of sensitivity and resonant frequency while preserving acoustic sensing functionality; 2) utilizing the reverse piezoelectric effect to achieve large tunable ranges with minimal tuning voltages; and 3) a cost-effective performance tuning methodology that eliminates the need for structural modifications; 4) ascertain the tuning mechanism. Furthermore, a refined equivalent circuit model provides insights into the electromechanical behavior of the device, enabling the optimization of tunable microphones and acoustic transducers. Experimental results demonstrate the tuning ability successfully. The acoustic experiment shows that the output amplitude can be changed by up to 182.18% under ±0.5 V DC tuning under 1 kHz acoustic input. The electrical experiment reveals a maximum resonant frequency change of 6.85% with ±10 V DC. The proposed microphone is a promising candidate to be employed in many next-generation audio applications, such as adaptive voice systems, AI-driven speech recognition, and noise cancellation.[2025-0005] |
Author | Luo, Huahuang Wu, Xinyu Ke, Qingqing Martins, Rui P. Wang, Yuan Kraft, Michael Wang, Chen Mak, Pui In Zheng, Zhuoyue |
Author_xml | – sequence: 1 givenname: Zhuoyue orcidid: 0009-0003-5618-8698 surname: Zheng fullname: Zheng, Zhuoyue organization: Institute of Microelectronics, State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China – sequence: 2 givenname: Xinyu surname: Wu fullname: Wu, Xinyu organization: Department of Electrical Engineering, KU Leuven, Micro- and Nano-Systems Group, Leuven, Belgium – sequence: 3 givenname: Yuan orcidid: 0000-0003-3814-4520 surname: Wang fullname: Wang, Yuan email: yuanwang@um.edu.mo organization: Institute of Microelectronics, State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China – sequence: 4 givenname: Huahuang orcidid: 0000-0002-0044-4643 surname: Luo fullname: Luo, Huahuang email: luohh23@mail.sysu.edu.cn organization: School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, China – sequence: 5 givenname: Qingqing surname: Ke fullname: Ke, Qingqing email: keqingq@mail.sysu.edu.cn organization: School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, China – sequence: 6 givenname: Chen surname: Wang fullname: Wang, Chen email: chen.wang@esat.kuleuven.be organization: Department of Electrical Engineering, KU Leuven, Micro- and Nano-Systems Group, Leuven, Belgium – sequence: 7 givenname: Michael orcidid: 0000-0002-7213-1072 surname: Kraft fullname: Kraft, Michael organization: Department of Electrical Engineering, KU Leuven, Micro- and Nano-Systems Group, Leuven, Belgium – sequence: 8 givenname: Rui P. orcidid: 0000-0003-2821-648X surname: Martins fullname: Martins, Rui P. organization: Institute of Microelectronics, State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China – sequence: 9 givenname: Pui In orcidid: 0000-0002-3579-8740 surname: Mak fullname: Mak, Pui In organization: Institute of Microelectronics, State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau, China |
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Snippet | This work introduces a novel tunable piezoelectric MEMS microphone, featuring a fully clamped membrane and dual-sensing electrodes. The device achieves a... |
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SubjectTerms | Acoustics Adaptive audio systems Adaptive systems Couplings Electrodes Equivalent circuits Impedance Microelectromechanical systems microelectromechanical systems (MEMS) Micromechanical devices Microphones microphones piezoelectric Piezoelectric effect Piezoelectricity Resonant frequencies Resonant frequency Sensitivity Speech recognition tunable performance Tuning |
Title | Toward a Tunable AlN-Based Piezoelectric MEMS Microphone: Design, Characterization, and Analysis |
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