This paper presents a fully analog, signal-to-noise ratio (SNR) based voice-activity detection circuit, which achieves 99.5 % classification accuracy in a domestic environment in the presence of loud ambient noise, consuming 760 nW from a 1.2 V supply. The circuit exploits an energy-efficient analog implementation with continuous-time non-linear operation and fully-passive switched-capacitor processing, to minimize both the power consumption and the chip area. The VAD circuit prototype, fabricated in a 180 nm CMOS technology, occupies 0.14mm2.
Croce, M., Friend, B., Nesta, F., Crespi, L., Malcovati, P., Baschirotto, A. (2020). A 760 nW, 180 nm CMOS Analog Voice Activity Detection System. In Proceedings of the Custom Integrated Circuits Conference. Institute of Electrical and Electronics Engineers Inc. [10.1109/CICC48029.2020.9075954].
A 760 nW, 180 nm CMOS Analog Voice Activity Detection System
Malcovati P.;Baschirotto A.
2020
Abstract
This paper presents a fully analog, signal-to-noise ratio (SNR) based voice-activity detection circuit, which achieves 99.5 % classification accuracy in a domestic environment in the presence of loud ambient noise, consuming 760 nW from a 1.2 V supply. The circuit exploits an energy-efficient analog implementation with continuous-time non-linear operation and fully-passive switched-capacitor processing, to minimize both the power consumption and the chip area. The VAD circuit prototype, fabricated in a 180 nm CMOS technology, occupies 0.14mm2.
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