⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一种用于毫米级传感器节点的142nW语音和声学活动检测芯片，通过时间交错混频器基频率处理技术实现超低功耗的始终开启语音活动检测，解决了物联网平台中声学唤醒检测器功耗过高的问题。
one of the most widely used sensing modalities to intelligently assess the environment. In particular, ultra-low power (ULP) always-on voice activity detection (VAD) is gaining attention as an enabling technology for IoT platforms. In many practical applications, acoustic events-of-interest occur infrequently. Therefore, the system power consumption is typically dominated by the always-on acoustic wakeup detector, while the remainder of the system is power-gated the vast majority of the time. A previous acoustic wakeup detector [1] consumed just 12nW but could not process voice signals (up to 4kHz bandwidth) or handle non-stationary events, which are essential qualities for a VAD. Prior VAD ICs [2,3] demonstrated reliable performance but consumed significant power (>20μW) and lacked an analog frontend
Minchang Cho*, Sechang Oh*, Zhan Shi, Jongyup Lim, Yejoong Kim,
Seokhyeon Jeong, Yu Chen, David Blaauw, Hun-Seok Kim, Dennis Sylvester University of Michigan, Ann Arbor, MI *Equally-Credited Authors (ECAs) Acoustic sensing is