Predicting Intelligible Speaking Rate in Individuals with Amyotrophic Lateral Sclerosis from a Small Number of Speech Acoustic and Articulatory Samples.

@article{Wang2016PredictingIS,
  title={Predicting Intelligible Speaking Rate in Individuals with Amyotrophic Lateral Sclerosis from a Small Number of Speech Acoustic and Articulatory Samples.},
  author={Jun Wang and Prasanna V. Kothalkar and Myung Jong Kim and Yana Yunusova and T. Kiyo F. Campbell and Daragh Heitzman and Jordan R. Green},
  journal={Workshop on Speech and Language Processing for Assistive Technologies},
  year={2016},
  volume={2016},
  pages={
          91-97
        }
}
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurological disease that affects the speech motor functions, resulting in dysarthria, a motor speech disorder. Speech and articulation deterioration is an indicator of the disease progression of ALS; timely monitoring of the disease progression is critical for clinical management of these patients. This paper investigated machine prediction of intelligible speaking rate of nine individuals with ALS based on a small number of speech… CONTINUE READING

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