@inproceedings{oai:nitech.repo.nii.ac.jp:00003406,
 author = {Zen, Heiga and Oura, Keiichiro and 大浦, 圭一郎 and Nose, Takashi and Yamagishi, Junichi and Sako, Shinji and Toda, Tomoki and Masuko, Takashi and Black, Alan W. and Tokuda, Keiichi},
 book = {Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference},
 month = {},
 note = {application/pdf, A statistical parametric approach to speech synthesisbased HMMs has grown in popularity over the last few years.In this approach, spectrum, excitation, and duration of speechare simultaneously modeled by context-dependent HMMs, andspeech waveforms are generated from the HMMs themselves.Since December 2002, we have publicly released an opensourcesoftware toolkit named “HMM-based speech synthesissystem (HTS)” to provide a research and development toolkitfor statistical parametric speech synthesis. This paper describesrecent developments of HTS in detail, as well as future releaseplans., October 4 - 7, 2009Sapporo Convention Center, Sapporo, Japan},
 pages = {121--130},
 publisher = {Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee},
 title = {Recent development of the HMM-based speech synthesis system (HTS)},
 year = {2009},
 yomi = {オオウラ, ケイイチロウ}
}