Prohlížení Publikační činnost ČVUT dle autora "Orozco-Arroyave J.R."
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Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors
Autor: Rios-Urrego C.D.; Rusz J.; Nöth E.; Orozco-Arroyave J.R.
(ISCA - International Speech Communication Association, 2023)Hypokinetic and hyperkinetic dysarthria are motor speech disorders that appear in patients with Parkinson's and Huntington's disease, respectively. They are caused due to progressive lesions or alterations in the basal ... -
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach
Autor: Rios-Urrego C.D.; Rusz J.; Orozco-Arroyave J.R.
(Nature Publishing Group, 2024)Parkinson's disease (PD) and essential tremor (ET) are prevalent movement disorders that mainly affect elderly people, presenting diagnostic challenges due to shared clinical features. While both disorders exhibit distinct ... -
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages
Autor: Arasteh S.T.; Ríos-Urrego C.D.; Nöth E.; Maier A.; Yang S.H.; Rusz J.; Orozco-Arroyave J.R.
(ISCA - International Speech Communication Association, 2023)Parkinson's disease (PD) is a neurological disorder impacting a person's speech. Among automatic PD assessment methods, deep learning models have gained particular interest. Recently, the community has explored cross-pathology ...