Web: http://arxiv.org/abs/2205.04665

May 11, 2022, 1:11 a.m. | Yu-Hsiang Chiang, Tian-Sheuan Chang, Shyh Jye Jou

cs.LG updates on arXiv.org arxiv.org

Keyword spotting has gained popularity as a natural way to interact with
consumer devices in recent years. However, because of its always-on nature and
the variety of speech, it necessitates a low-power design as well as user
customization. This paper describes a low-power, energy-efficient keyword
spotting accelerator with SRAM based in-memory computing (IMC) and on-chip
learning for user customization. However, IMC is constrained by macro size,
limited precision, and non-ideal effects. To address the issues mentioned
above, this paper proposes …

ar arxiv chip computing decision learning on

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