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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 ...
Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction
(Proceedings of the IEEE International Conference on Acoustics, Speech and Signal ProcessingProceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2010)
This paper demonstrates how unsupervised cross-lingual adaptation of HMM-based speech synthesis models may be performed without explicit knowledge of the adaptation data
language. A two-pass decision tree construction ...