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Deep neural network context embeddings for model selection in rich-context HMM synthesis.
Thomas Merritt
Junichi Yamagishi
Zhizheng Wu
Oliver Watts
Simon King
Published in:
INTERSPEECH (2015)
Keyphrases
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model selection
neural network
machine learning
bayesian networks
active learning
mixture model
parameter estimation
cross validation
statistical learning
selection criterion
hidden markov models
probabilistic model
regression model
generalization error
bayesian learning
leave one out cross validation