Towards a Comparative Database of Dysarthric Articulation

نویسندگان

  • Frank Rudzicz
  • Pascal van Lieshout
  • Graeme Hirst
  • Gerald Penn
  • Fraser Shein
  • Talya Wolff
چکیده

This work describes ongoing data collection of synchronized acoustic and kinematic features of dysarthric speech. Recordings consist of electromagnetic articulographic measurements and 3D reconstructions from video over a variety prompts read by individuals with cerebral palsy and matching nondysarthric subjects. Preliminary results show a preponderance of mispronounced plosives in dysarthric speech, and greater articulatory variability. An experiment with a standard hidden Markov model for speech recognition resulted in 84% triphone recognition accuracy for non-dysarthric speech, but only 6% accuracy for individuals with cerebral palsy.

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تاریخ انتشار 2008