An Ultra-low-power 28nm CMOS Dual-die ASIC Platform for Smart Hearables

Yu Pu, Danny Butterfield,Jorge Garcia,Jing Xie,Mark Lin, Rohit Sauhta, Rick Farley, Steve Shellhammer, Moses Derkalousdian,Adam Newham,Chunlei Shi, Ravi Shenoy, Evgeni Gousev,Rashid Attar

2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)(2018)

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摘要
This paper presents an ultra-low-power dual-die platform for (medical) smart hearables. It pairs two custom ASICs: i) Blackghost - a 28nm CMOS near-threshold-V DD powered and highly integrated SoC with embedded PMU, MCU, 16-issue DSP engine and hardened audio sub-system island; ii) DIRAC - a 28nm CMOS always-on voiceband RF & mixed-signal audio codec frontend. With ~90dB of dynamic range, DIRAC codec consumes <;200μW of total power. For fast wakeup, sleep and standby of Blackghost, DIRAC also features low latency microphone activity detection (MAD) and TX-RX cross fading scheme. This dual-die platform enables miniaturized hearable devices capable of running emerging audio algorithms like deep learning at an extremely low enerzy budget.
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关键词
low power,audio codec,deep learning,hearable
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