Listen Learner: Automatic Class Discovery One Shot Interactions for Acoustic Activity Recognition
Acoustic activity recognition has emerged as a foundational element for imbuing devices with contextdriven capabilities, enabling richer, more assistive, and more accommodating computational experiences. Traditional approaches rely either on custom models trained in situ, or general models pretrained on preexisting data, with each approach having accuracy and user burden implications. We present Listen Learner, a technique for activity recognition that gradually learns events specific to a deployed enviro
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