Modeling the Progression of Speech Deficits in Cerebellar Ataxia Using a Mixture Mixed-Effect Machine Learning Framework
Version 3 2024-10-18, 04:38
Version 2 2024-06-04, 07:37
Version 1 2021-10-06, 08:11
journal contribution
posted on 2024-10-18, 04:38 authored by Bipasha KashyapBipasha Kashyap, Pubudu PathiranaPubudu Pathirana, M Horne, L Power, DJ SzmulewiczModeling the Progression of Speech Deficits in Cerebellar Ataxia Using a Mixture Mixed-Effect Machine Learning Framework
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Journal
IEEE AccessVolume
9Pagination
135343-135353Location
Piscataway, N.J.Open access
- Yes
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ISSN
2169-3536eISSN
2169-3536Language
EnglishPublication classification
C1 Refereed article in a scholarly journalPublisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringTask analysisTime measurementStandardsMel frequency cepstral coefficientFrequency measurementDiseasesPerturbation methodsCerebellar ataxiacerebellar dysarthriaclusteringmixed-effect modelingmixture analysisprogression analysisspeech processingDYSARTHRIA4003 Biomedical engineering
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