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A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend
Research article (2023 IEEE International Solid- State Circuits Conference (ISSCC), 2023) · cited 17× · AI/ML
A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend
Summary
A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend is a scholarly article[1].
Key Facts
A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-1-5-mu-mathrm-w-end-to-end-keyword-spotting-soc-with-content-adaptive-frame-sub-sampling-and-fast-settling-analog-fron
MLA“A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-1-5-mu-mathrm-w-end-to-end-keyword-spotting-soc-with-content-adaptive-frame-sub-sampling-and-fast-settling-analog-fron.
BibTeX@misc{4ortxyz_a-1-5-mu-mathrm-w-end-to-end-keyword-spotting-soc-with-content-adaptive-frame-sub-sampling-and-fast-settling-analog-fron_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend}}, year = {2026}, url = {https://4ort.xyz/entity/a-1-5-mu-mathrm-w-end-to-end-keyword-spotting-soc-with-content-adaptive-frame-sub-sampling-and-fast-settling-analog-fron}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend — https://4ort.xyz/entity/a-1-5-mu-mathrm-w-end-to-end-keyword-spotting-soc-with-content-adaptive-frame-sub-sampling-and-fast-settling-analog-fron (retrieved 2026-05-24)
