13.1 A 0.22mm2 161nw Noise-Robust Voice-Activity Detection Using Information-Aware Data Compression and Neuromorphic Spatial-Temporal Feature Extraction
IEEE International Solid-State Circuits Conference（2025）
Key words
Speech Detection,Convolutional Neural Network,Power Consumption,Confusion Matrix,Processing Unit,Downscaling,Work Systems,Compressor,High Signal-to-noise Ratio,Extreme Points,Excellent Accuracy,Weight Training,Total Power Consumption,Low-noise Amplifier,Parallel Work,Spike Detection,Compression Efficiency,Mel-frequency Cepstral Coefficients,Excellent Robustness,Compression Mode
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