Title :
A 2.3nJ/frame Voice Activity Detector based audio front-end for context-aware System-on-Chip applications in 32nm CMOS
Author :
Raychowdhury, Arijit ; Tokunaga, Carlos ; Beltman, Willem ; Deisher, Michael ; Tschanz, James ; De, Vivek
Author_Institution :
Intel Labs., Intel, Hillsboro, OR, USA
Abstract :
An audio front-end with Voice Activity Detection (VAD) hardware targeted for low-power embedded SoCs, featuring a 512pt FFT, programmable filters, noise floor estimator and a decision engine has been fabricated in 32nm CMOS. The dual-VCC, dual-frequency design allows the core datapath to scale to near-threshold voltage, where power consumption is less than 50μW. At peak energy efficiency, the core can process audio data at 2.3nJ/frame - a 9.4X improvement over nominal voltage conditions.
Keywords :
CMOS integrated circuits; audio signal processing; digital signal processing chips; system-on-chip; voice communication; CMOS; FFT; audio front-end; context-aware system-on-chip; decision engine; dual-VCC; low-power embedded SoC; noise floor estimator; programmable filters; size 32 nm; voice activity detector; Energy efficiency; Estimation; Filtering; Floors; Noise; Speech recognition; System-on-a-chip;
Conference_Titel :
Custom Integrated Circuits Conference (CICC), 2012 IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4673-1555-5
Electronic_ISBN :
0886-5930
DOI :
10.1109/CICC.2012.6330651
