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dc.contributor.authorFahim, Sirajuim
dc.contributor.authorMurray, Niall
dc.contributor.authorFlynn, Ronan
dc.identifier.citationFahim, S.M., Murray, N., Flynn, R. (2022). Evaluating performance of commercial automatic speech recognition systems for speakers with dysarthria. Presented at TUS: MM Poster Presentation Seminar January 2022en_US
dc.description.abstractDysarthria refers to motor neuron speech disorders that limit the ability to control muscle groups used for speech production. Dysarthric speech has reduced intelligibility due to being slurry, breathy and slow compared to typical speech. The modern advancements of automatic speech recognition (ASR) and the increase of speechcontrolled systems raise the question on their inclusiveness for speakers with dysarthria. METHOD RESULTS DISCUSSIONAcknowledgement This study was funded by AIT Presidents Doctoral Scholarship This study evaluated the performance of two popular commercial ASR systems with dysarthric speech and compared the performance with state-of-the-art dysarthric speech ASR systems.en_US
dc.publisherTechnological University of the Shannon Midlands Midwesten_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.subjectSpeech recognition systemsen_US
dc.subjectMotor neuron speech disordersen_US
dc.titleEvaluating performance of commercial automatic speech recognition systems for speakers with dysarthriaen_US
dc.contributor.affiliationTechnological University of the Shannon Midlands Midwesten_US
dc.contributor.sponsorTUS Midlands Midwest President's Doctoral Scholarshipen_US
dc.identifier.orcid 0000-0003-4571-3920en_US
dc.identifier.orcid 0000-0002-5919-0596en_US
dc.identifier.orcid 0000-0002-6475-005Xen_US
dc.subject.departmentFaculty of Engineering and Informatics TUS:MMen_US

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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International