A comparative study of dysfluency detection models finds UDM best balances accuracy and clinical interpretability, while SSDM is not reproducible from its published description.
Time and tokens: Benchmarking end-to-end speech dysfluency detection, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Comparative Study of Controllability, Explainability, and Performance in Dysfluency Detection Models
A comparative study of dysfluency detection models finds UDM best balances accuracy and clinical interpretability, while SSDM is not reproducible from its published description.