Estimation of Articulatory Movements From Speech Acoustics Using an HMM-Based Speech Production Model

Sadao Hiroya*, Masaaki Honda

*この研究の対応する著者

研究成果: Article査読

114 被引用数 (Scopus)

抄録

We present a method that determines articulatory movements from speech acoustics using a Hidden Markov Model (HMM)-based speech production model. The model statistically generates speech spectrum and articulatory parameters from a given phonemic string. It consists of HMMs of articulatory parameters for each phoneme and an articulatory-to-acoustic mapping for each HMM state. For a given speech spectrum, maximum a posteriori estimation of the articulatory parameters of the statistical model is presented. The performance on sentences was evaluated by comparing the estimated articulatory parameters with the observed parameters. The average RMS errors of the estimated articulatory parameters were 1.50 mm from the speech acoustics and the phonemic information in an utterance and 1.73 mm from the speech acoustics only.

本文言語English
ページ(範囲)175-185
ページ数11
ジャーナルIEEE Transactions on Speech and Audio Processing
12
2
DOI
出版ステータスPublished - 2004 3月
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • 音響学および超音波学
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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