Acoustic-to-articulatory inverse mapping using an HMM-based speech production model

Sadao Hiroya, Masaaki Honda

研究成果: Conference contribution

7 被引用数 (Scopus)

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
ホスト出版物のタイトル7th International Conference on Spoken Language Processing, ICSLP 2002
出版社International Speech Communication Association
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 162002 9 20

Other

Other7th International Conference on Spoken Language Processing, ICSLP 2002
国/地域United States
CityDenver
Period02/9/1602/9/20

ASJC Scopus subject areas

  • 言語および言語学
  • 言語学および言語

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