Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition

CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI USA April, 2020, pp. 1-14, 2020.

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Abstract:

Acoustic activity recognition has emerged as a foundational element for imbuing devices with context-driven capabilities, enabling richer, more assistive, and more accommodating computational experiences. Traditional approaches rely either on custom models trained in situ, or general models pre-trained on preexisting data, with each appro...More

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