A variational Bayesian method adapts deep acoustic models by estimating distributions over hidden features, with a Gaussian mean-field variant for parallel data and an empirical Bayes variant for non-parallel data, and reports gains over thirteen transfer baselines.
Conversational speech transcription using context-dependent deep neural networks,
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
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer
A variational Bayesian method adapts deep acoustic models by estimating distributions over hidden features, with a Gaussian mean-field variant for parallel data and an empirical Bayes variant for non-parallel data, and reports gains over thirteen transfer baselines.