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AAD-KWS: a sub-$\muW$ keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS.

, , , and . ESSDERC, page 99-102. IEEE, (2021)

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Verified programs can party: optimizing kernel extensions via post-verification merging., , , , , and . EuroSys, page 283-299. ACM, (2022)A Depthwise Separable Convolution Neural Network for Small-footprint Keyword Spotting Using Approximate MAC Unit and Streaming Convolution Reuse., , and . APCCAS, page 309-312. IEEE, (2019)AAD-KWS: a sub-µW keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS., , , and . ESSCIRC, page 99-102. IEEE, (2021)Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification., , , , , , and . DATE, page 1-6. IEEE, (2024)DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizing preferences of decision makers., , , , and . Frontiers Inf. Technol. Electron. Eng., 23 (11): 1714-1732 (2022)14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS., , , , , , , , and . ISSCC, page 230-232. IEEE, (2020)SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention., , , , , and . CoRR, (2023)AAD-KWS: a sub-$\muW$ keyword spotting chip with a zero-cost, acoustic activity detector from a 170nW MFCC feature extractor in 28nm CMOS., , , and . ESSDERC, page 99-102. IEEE, (2021)A 28nm, 4.69TOPS/W Training, 2.34µJ/lmage Inference, on-chip Training Accelerator with Inference-compatible Back Propagation., , , and . ICTA, page 98-99. IEEE, (2022)