Audiovisual Phonologic-Feature-Based Recognition of Dysarthric Speech

@inproceedings{HasegawaJohnson2006AudiovisualPR,
  title={Audiovisual Phonologic-Feature-Based Recognition of Dysarthric Speech},
  author={Mark Hasegawa-Johnson and Jon Gunderson and Thomas Huang and Adrienne Perlman},
  year={2006}
}
Automatic dictation software with reasonably high word recognition accuracy is now widely available to the general public. Many people with gross motor impairment, including some people with cerebral palsy and closed head injuries, have not enjoyed the benefit of these advances, because their general motor impairment includes a component of dysarthria: reduced speech intelligibility caused by neuromotor impairment. These motor impairments often preclude normal use of a keyboard. For this reason… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 83 references

Analysis of perceptual confusions among some English consonants

  • G. A. Miller, P. E. Nicely
  • J. Acoust. Soc. Am,
  • 1955
Highly Influential
7 Excerpts

Acoustic Phonetics

  • Kenneth N. Stevens
  • 1999
Highly Influential
6 Excerpts

Tree-based state clustering for large vocabulary speech recognition

  • J. J. Odell, P. C. Woodland, S. J. Young
  • In Proc. Internat. Sympos. Speech, Image Process…
  • 1994
Highly Influential
12 Excerpts

Accuracy of voice-recognition technology in collecting behavior diary data

  • Weimo Zhu, Mark Hasegawa-Johnson, Mital Arun Gandhi
  • In Association of Test Publishers (ATP…
  • 2005
1 Excerpt

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