Speech recognition using dynamical model of speech production

  • Authors:

  • Ken-ichi Iso

  • Affiliations:

  • NEC Corporation, Kawasaki, Japan and School of Computer Science, Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
  • Year:
  • 1993

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Abstract

We propose a speech recognition method based on the dynamical model of speech production. The model consists of an articulator and its control command sequences. The latter has linguistic information of speech and the former has the articulatory information which determines the transformation from linguistic intentions to speech signals. This separation allows our speech recognition model to be more controllable. It also provides new approaches to coarticulation modeling. The effectiveness of the proposed model was examined by speaker-dependent letter recognition experiments.