Recent development of the HMM-based speech synthesis system (HTS)

نویسندگان

  • Heiga Zen
  • Keiichiro Oura
  • Takashi Nose
  • Junichi Yamagishi
  • Shinji Sako
  • Tomoki Toda
  • Takashi Masuko
  • Alan W. Black
  • Keiichi Tokuda
چکیده

A statistical parametric approach to speech synthesis based on hidden Markov models (HMMs) has grown in popularity over the last few years. In this approach, spectrum, excitation, and duration of speech are simultaneously modeled by context-dependent HMMs, and speech waveforms are generated from the HMMs themselves. Since December 2002, we have publicly released an open-source software toolkit named “HMMbased speech synthesis system (HTS)” to provide a research and development toolkit for statistical parametric speech synthesis. This paper describes recent developments of HTS in detail, as well as future release plans.

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تاریخ انتشار 2009