Abstract
Ultralow-power sensing with inference functional-
ity embedded in sensor nodes is essential for enabling the
emerging pervasive intelligence. For acoustic inference sensing,
the feature extraction can take advantage of power-efficient
analog circuits. However, the existing solutions have been mostly
constrained to linear analog signal processing, which largely
limits the achievable power efficiency. In this article, we show
that tasks like voice activity detection and keyword spotting can
well acc