RT Conference Proceedings
T1 A VCO-based voice activity detection system for IoT applications
A1 Loi, Dante
A1 Zbida Fernandez, Nordin
A1 Hernández Corporales, Luis
A1 Wiesbauer, Andreas
AB This paper shows a system level implementation of a Voice Activity Detector aimed at edge computing applications. The system is based on a voice band filter followed by a Manhattan norm calculator. It works with time encoded signals instead of charged capacitors or analog voltages. The advantages of this approach span from ultra low power consumption, to the suitability for deep sub-micron implementations, together with the possibility to fully synthesize the circuit using digital designing tools.
PB IEEE
SN 978-1-6654-7309-5
YR 2022
FD 2022-10-10
LK https://hdl.handle.net/10016/36763
UL https://hdl.handle.net/10016/36763
LA eng
NO Proceedings of: 30th Austrian Workshop on Microelectronics (Austrochip 2022), 10-12 October 2022, Villach, Austria.
NO This paper was supported by program H2020-MSCA-ITN-2020 grant Nr. 956601
DS e-Archivo
RD 18 jul. 2024