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Roles of the Average Voice in Speaker-adaptive HMM-based Speech Synthesis

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p50227.pdf (405.1Kb)
Date
2010
Author
Yamagishi, Junichi
Watts, Oliver
King, Simon
Usabaev, Bela
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Abstract
In speaker-adaptive HMM-based speech synthesis, there are a few speakers whose synthetic speech sounds worse than that of other speakers, despite having the same amount of adaptation data from within the same corpus. This paper investigates these fluctuations in quality and found that as mel-cepstral distance from the average voice becomes larger, the MOS scores generally become worse. Although the negative correlation obtained is not strong enough, this helps us improve the training and adaptation strategies for average voice models. Furthermore we remark that this correlation is strongly linked to “vocal attractiveness.”
URI
http://hdl.handle.net/1842/4865
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  • Informatics Publications

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