Comparison in suprasegmental characteristics between typical and dysarthric talkers at varying severity levels

Mohammad Soleymanpour, Michael T. Johnson, Jeffrey Berry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Dysarthria is a speech disorder often characterized by slow speech with reduced intelligibility. This preliminary study investigates suprasegmental characteristics between typical and dysarthric speakers at varying severity levels, with the long-term goal of improving methods for dysarthric speech synthesis/augmentation and enhancement. First, we aim to analyze phonemes, speaking rate and pause characteristics of typical and dysarthric speech using the phoneme- and word-level alignment information extracted by Montreal Forced Aligner (MFA). Then, pitch and intensity declination trends and range analysis are conducted. The pitch and intensity declination are measured by fitting a regression line. These analyses are conducted on dysarthric speech in TORGO, containing 8 dysarthric speakers involved with cerebral palsy or amyotrophic lateral sclerosis and 7 age- and gender-matched typical speakers. These results are important for the development of dysarthric speech synthesis, augmentation to statistically model and evaluate characteristics such as pause, speaking rate, pitch, and intensity.

Original languageEnglish
Title of host publication2021 11th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2021
Pages52-56
Number of pages5
ISBN (Electronic)9781665427869
DOIs
StatePublished - 2021
Event11th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2021 - Virtual, Bucharest, Romania
Duration: Oct 13 2021Oct 15 2021

Publication series

Name2021 11th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2021

Conference

Conference11th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2021
Country/TerritoryRomania
CityVirtual, Bucharest
Period10/13/2110/15/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Dysarthria
  • F0 declination
  • Forced alignment
  • Speech analysis

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Communication

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