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

Mohammad Soleymanpour, Michael T. Johnson, Jeffrey Berry

Producción científica: Conference contributionrevisión exhaustiva

Resumen

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.

Idioma originalEnglish
Título de la publicación alojada2021 11th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2021
Páginas52-56
Número de páginas5
ISBN (versión digital)9781665427869
DOI
EstadoPublished - 2021
Evento11th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2021 - Virtual, Bucharest, Romania
Duración: oct 13 2021oct 15 2021

Serie de la publicación

Nombre2021 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
País/TerritorioRomania
CiudadVirtual, Bucharest
Período10/13/2110/15/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

Financiación

ACKNOWLEDGEMENT This work was supported by NationalInstitutes of Health underNIDCD R15 DC017296-01. This work was supported by NationalInstitutesof Health underNIDCD R15 DC017296-01.

FinanciadoresNúmero del financiador
NationalInstitutesof Health underNIDCD
National Institutes of Health (NIH)R15 DC017296-01

    ASJC Scopus subject areas

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

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