Applying Dirichlet-based evidential learning to three fake audio detectors yields modest EER gains and apparently better calibration on ASVspoof, but the calibration comparison is methodologically weak.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Trusted Fake Audio Detection Based on Dirichlet Distribution
Applying Dirichlet-based evidential learning to three fake audio detectors yields modest EER gains and apparently better calibration on ASVspoof, but the calibration comparison is methodologically weak.