抄録
We present a method that determines articulatory movements from speech acoustics using an HMM (Hidden Markov Model)-based speech production model. The model statistically generates speech acoustics and articulatory movements from a given phonemic string. It consists of HMMs of articulatory movements for each phoneme and an articulatory-to-acoustic mapping for each HMM state. For a given speech acoustics, the maximum a posteriori probability estimate of the articulatory parameters of the statistical model is presented. The method's performance on sentences was evaluated by comparing the estimated articulatory parameters with observed parameters. The average rms error of the estimated articulatory parameters was 1.79 mm with phonemic information and 2.16 mm without phonemic information in an utterance.
本文言語 | English |
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ページ | 2305-2308 |
ページ数 | 4 |
出版ステータス | Published - 2002 |
外部発表 | はい |
イベント | 7th International Conference on Spoken Language Processing, ICSLP 2002 - Denver, United States 継続期間: 2002 9月 16 → 2002 9月 20 |
Other
Other | 7th International Conference on Spoken Language Processing, ICSLP 2002 |
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国/地域 | United States |
City | Denver |
Period | 02/9/16 → 02/9/20 |
ASJC Scopus subject areas
- 言語および言語学
- 言語学および言語