SESSION 13 Cool Computation Circuits.pdf

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1、ISSCC 2025SESSION 13Cool Computation Circuits 2025 IEEE International Solid-State Circuits Conference13.1 A 0.22mm2161nW Noise-Robust Voice-Activity Detection Using Information-Aware Data Compression and Neuromorphic Spatial-Temporal Feature Extraction1 of 44A 0.22mm2161nW Noise-Robust Voice-Activit

2、y Detection Using Information-Aware Data Compression and Neuromorphic Spatial-Temporal Feature ExtractionYing 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 Ye1,21Peking University,Beijing,China2Adva

3、nced Institute of Information Technology of Peking University,Hangzhou,China3Nano Core Chip Electronic Technology,Hangzhou,China*Equally-Credited Authors(ECAs)2025 IEEE International Solid-State Circuits Conference13.1 A 0.22mm2161nW Noise-Robust Voice-Activity Detection Using Information-Aware Data

4、 Compression and Neuromorphic Spatial-Temporal Feature Extraction2 of 44Outline Background and Motivation Workflow of VAD System Information Aware Data Compressor Neuromorphic Feature Extractor and Classifier Measurements Conclusion 2025 IEEE International Solid-State Circuits Conference13.1 A 0.22m

5、m2161nW Noise-Robust Voice-Activity Detection Using Information-Aware Data Compression and Neuromorphic Spatial-Temporal Feature Extraction3 of 44Outline Background and Motivation Workflow of VAD System Information Aware Data Compressor Neuromorphic Feature Extractor and Classifier Measurements Conc

6、lusion 2025 IEEE International Solid-State Circuits Conference13.1 A 0.22mm2161nW Noise-Robust Voice-Activity Detection Using Information-Aware Data Compression and Neuromorphic Spatial-Temporal Feature Extraction4 of 44Background:Voice Activity Detection AIoT Power Demand:Ultra-low power Usability