Stream analysis for detecting stuttering episodes

Authors

  • Fabio Fassetti DIMES, University of Calabria, Italy Author
  • Ilaria Fassetti Therapeia Rehabilitation Center, Italy Author
  • Simona Nisticò DIMES, University of Calabria, Italy Author

DOI:

https://doi.org/10.36505/ExLing-2019/10/0019/000381

Keywords:

Stuttering, stream detection, machine learning

Abstract

Stuttering is a communication disorder where a person is not able to speak fluently. A fluency disorder causes problems with the flow, rhythm and speed of speech. If one stutters, its speech may sound interrupted or blocked, as though the individual is trying to say a sound but it doesn't come out. This work is designed to help specialists in the evaluation of stuttering and recognize occurrences of disfluency episodes such as repetitions of sounds, syllables or words, silent pauses, hesitations or blocks during the speech.

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Published

01-01-2019

How to Cite

Stream analysis for detecting stuttering episodes. (2019). Linguistic Proceedings Series, 10(1), 77-80. https://doi.org/10.36505/ExLing-2019/10/0019/000381

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