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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.