A 23µW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction

📋 论文概要

该论文提出了一款23µW太阳能供电的关键词唤醒ASIC，采用基于环形振荡器的时域特征提取技术，解决了传统FFT特征提取器功耗高、延迟大的问题。

💡 主要创新点

• 采用基于环形振荡器的时域特征提取方法，替代传统的FFT，大幅降低功耗和延迟
• 实现23µW的超低功耗，支持太阳能供电，适用于持续运行的物联网唤醒应用
• 可支持关键词数量扩展至更多类别，克服了之前方案仅支持1-4个关键词的限制

🏷 关键词

📄 原文摘要

interfaces on acoustic Internet-of-Things (IoT) sensor nodes and mobile devices require integrated low-power always-on wake-up functions such as Voice Activity Detection (VAD) and Keyword Spotting (KWS) to ensure longer battery life. Most VAD and KWS ICs focused on reducing the power of the feature extractor (FEx) as it is the most power-hungry building block. A serial Fast Fourier Transform (FFT)-based KWS chip [1] achieved 510nW; however, it suffered from a high 64ms latency and was limited to detection of only 1-to-4 keywords (2-to-5 classes). Although the analog FEx [2-3] for VAD/KWS reported 0.2μW-to-1μW and 10ms-to-100ms latency, neither demonstrated >5 classes in keyword detection. In addition, their voltage-domain implementations

👥 作者与机构

Kwantae Kim*1, Chang Gao*1, Rui Graça1, Ilya Kiselev1, Hoi-Jun Yoo2,

Tobi Delbruck1, Shih-Chii Liu1 University of Zurich and ETH Zurich, Zurich, Switzerland KAIST, Daejeon, Korea 1 2 *Equally-Credited Authors (ECAs) Voice-controlled