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

Junichi Yamagishi, Oliver Watts, Simon King, Bela Usabaev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In speaker-adaptive HMM-based speech synthesis, there are typically a few speakers for which the output 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 concludes that as melcepstral distance from the average voice becomes larger, the MOS naturalness scores generally become worse. Although this negative correlation is not that strong, it suggests a way to improve the training and adaptation strategies. We also draw comparisons between our findings and the work of other researchers regarding ``vocal attractiveness.''
Original languageEnglish
Title of host publicationProc. Interspeech 2010
Publication statusPublished - 2010

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