A variational Bayesian version of weighted relaxed instance frequency-wise normalization (BWRFN) improves reported speaker verification and anti-spoofing performance under domain mismatch.
Linguistics, Artificial Intelligence and Lang uage and Speech Technologies: from Research to Applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing
A variational Bayesian version of weighted relaxed instance frequency-wise normalization (BWRFN) improves reported speaker verification and anti-spoofing performance under domain mismatch.