The best model, GOP-CTC-AF-E2E, combines alignment-free CTC goodness-of-pronunciation features with a transformer and end-to-end fine-tuning, achieving the top leaderboard scores in the NOCASA 2025 challenge.
Such systems can be used to provide feedback in computer-aided language learning applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
Comparison of End-to-end Speech Assessment Models for the NOCASA 2025 Challenge
The best model, GOP-CTC-AF-E2E, combines alignment-free CTC goodness-of-pronunciation features with a transformer and end-to-end fine-tuning, achieving the top leaderboard scores in the NOCASA 2025 challenge.