Synthesis of fast speech with interpolation of adapted HSMMs and its evaluation by blind and sighted listeners

Michael Pucher, Dietmar Schabus, Junichi Yamagishi

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

Abstract / Description of output

In this paper we evaluate a method for generating synthetic speech at high speaking rates based on the interpolation of hidden semi-Markov models (HSMMs) trained on speech data recorded at normal and fast speaking rates. The subjective evaluation was carried out with both blind listeners, who are used to very fast speaking rates, and sighted listeners. We show that we can achieve a better intelligibility rate and higher voice quality with this method compared to standard HSMM-based duration modeling. We also evaluate duration modeling with the interpolation of all the acoustic features including not only duration but also spectral and F0 models. An analysis of the mean squared error (MSE) of standard HSMM-based duration modeling for fast speech identifies problematic linguistic contexts for duration modeling.
Original languageEnglish
Title of host publicationProc. Interspeech
Pages2186-2189
Number of pages4
Publication statusPublished - 1 Sept 2010

Keywords / Materials (for Non-textual outputs)

  • speech synthesis, fast speech, hidden semi- Markov model

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