This paper adds 717 precisely timed tap water audio annotations to the HD-Epic dataset and reports that lightweight classifiers detect this subclass better than the broader water class when measured against a random baseline.
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Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset
This paper adds 717 precisely timed tap water audio annotations to the HD-Epic dataset and reports that lightweight classifiers detect this subclass better than the broader water class when measured against a random baseline.