Application of neural networks to articulatory motion estimation

Tetsunori Kobayashi, Masayuki Yagyu, Katsuhiko Shirai

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The authors discuss an application of neural networks (NNs) to the problem of estimating the motion of articulatory organs from speech waves. A four-layer feedforward network was successfully applied to the articulatory parameter estimation problem. The evaluation test was performed using the vowel data in 5200 tokens in the ATR word database. Results show that the difference in estimated articulatory parameter values between the conventional model matching method (MM) and NN is only 0.1, which is about 3% of the value range, on average. For a few data, large differences arise between MM and NN, but this is due to misestimation in MM rather than NN. The percentage of misestimates in NN is less than 50% of that for MM. As for calculation time, NN is 10 times faster than MM. Thus, a high-speed and stable articulatory parameter estimation technique can be realized using neural networks.

本文言語English
ホスト出版物のタイトルProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
編集者 Anon
出版社Publ by IEEE
ページ489-492
ページ数4
ISBN(印刷版)078030033
出版ステータスPublished - 1991 12 1
外部発表はい
イベントProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
継続期間: 1991 5 141991 5 17

出版物シリーズ

名前Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
1
ISSN(印刷版)0736-7791

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period91/5/1491/5/17

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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