University, Hangzhou, China 3 Nano Core Chip Electronic Technology, Hangzhou, China 1 *Equally Credited Authors (ECAs) Nowadays, voice activation detection (VAD), typically consisting of the feature extractor (FE) and the intelligent engine (IE), is crucial for reducing the power consumption of the voice processing system (VPS) (Fig. 13.1.1 top). Normally, the always-on VAD dominates the power consumption while VPS remains inactive [1]. Therefore, the VAD should meet stringent power consumption requirement to extend the battery life of artificial intelligence of things (AIoT) devices. Additionally, achieving excellent inference accuracy and noise robustness is also essential for practical consideration. [1] proposed the analog FE and
Ying Liu*1, Jie Li*1, Qining Zhang*1, Tianhao Zhao2, Chenhao Shi1, Ninghui Shang1,
Peiyu Chen2, Xiaohuan Ge3, Yufei Ma1, Linxiao Shen1, Zhixuan Wang3, Ru Huang1, Le Ye1,2 Peking University, Beijing, China 2 Advanced Institute of Information Tecnhology of Peking