Browsing School of Technology by Subject "unsupervised speaker adaptation"
Now showing items 1-2 of 2
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Two-pass decision tree construction for unsupervised adaptation of HMM-based synthesis models
(2009)Hidden Markov model (HMM) -based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not ...
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Unsupervised intralingual and cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction
(IEEE Transactions on Audio, Speech and Language Processing, 2010)Hidden Markov model (HMM)-based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not ...