A statistical parametric speech synthesis system based on hidden Markov models (HMMs) has grown in popularity over the last few years. This system simultaneously models spectrum, excitation, and duration of speech using context-dependent HMMs and generates speech waveforms from the HMMs themselves. Since December 2002, we have publicly released an open-source software toolkit named HMM-based speech synthesis system (HTS) to provide a research and development platform for the speech synthesis community. In December 2006, HTS version 2.0 was released. This version includes a number of new features which are useful for both speech synthesis researchers and developers. This paper describes HTS version 2.0 in detail, as well as future release plans.
Cite as: Zen, H., Nose, T., Yamagishi, J., Sako, S., Masuko, T., Black, A.W., Tokuda, K. (2007) The HMM-based speech synthesis system (HTS) version 2.0. Proc. 6th ISCA Workshop on Speech Synthesis (SSW 6), 294-299
@inproceedings{zen07_ssw,
author={Heiga Zen and Takashi Nose and Junichi Yamagishi and Shinji Sako and Takashi Masuko and Alan W. Black and Keiichi Tokuda},
title={{The HMM-based speech synthesis system (HTS) version 2.0}},
year=2007,
booktitle={Proc. 6th ISCA Workshop on Speech Synthesis (SSW 6)},
pages={294--299}
}