Tomás Arias‐Vergara

Author

Tomás Arias‐Vergara

Also Known As

Arias Vergara, Tomás, Arias-Vergara, Tomas, Arias-Vergara, Tomás, T Arias Vergara, T. Arias Vergara, T. Arias-Vergara, Tomas Arias, Tomas Arias-Vergara, Tomás Arias-Vergara, Tomás Arias‐Vergara

108

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Universidad de Antioquia Friedrich-Alexander-Universität Erlangen-Nürnberg Ludwig-Maximilians-Universität München Universitätsklinikum Erlangen

About

Tomás Arias‐Vergara is an author at Universidad de Antioquia specializing in speech recognition, speech perception, and speech processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Health Sciences	9	9	290
2	Medicine	7	7	412
3	Engineering	6	6	434
4	Arts	2	2	73
5	Language Studies	2	2	55

Tomás Arias‐Vergara

Publications

880

Citations

H-Index

Page 1

	Year	Citations
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach Juan Camilo Vásquez-Correa, Tomás Arias‐Vergara, Juan Rafael Orozco‐Arroyave, IEEE Journal of Biomedical and Health Informatics EngineeringMachine LearningPathological SpeechMultimodal LearningMultimodal Assessment	2018	245
Multi-channel spectrograms for speech processing applications using deep learning methods Tomás Arias‐Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Pattern Analysis and Applications EngineeringMachine LearningDeep Learning ModelsAbstract Time–frequency RepresentationsSpeech Recognition	2020	89
Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning Approach Adolfo M. García, Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, Movement Disorders	2021	72
Parkinson’s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco‐Arroyave Cognitive Computation PhoniatricsApraxia Of SpeechMedicineParkinson DiseaseVoice Disorders	2017	51
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate Juan Camilo Vásquez-Correa, Tomás Arias‐Vergara, Martin J. Schuster, Speech Communication EngineeringMachine LearningDeep LearningHealth SciencesSpeech Analysis	2020	37
Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco‐Arroyave, Speech Communication Speech AnalysisHealth SciencesAcoustic ConditionsSpeech AcousticsParkinson ’	2018	33
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease Juan Camilo Vásquez-Correa, Tomás Arias‐Vergara, Juan Rafael Orozco‐Arroyave, NeuropsychologyMedicineParkinson DiseaseDysarthria SeverityPathological Speech	2018	33
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages Juan Camilo Vásquez-Correa, Cristian David Ríos-Urrego, Tomás Arias‐Vergara, Pattern Recognition Letters Speech PerceptionHealth SciencesLanguage DisorderMultilingualismPathological Speech	2021	33
<i>Apkinson</i>: the Smartphone Application for Telemonitoring Parkinson’s Patients Through speech, Gait and Hands Movement Juan Rafael Orozco‐Arroyave, Juan Camilo Vásquez-Correa, Philipp Klumpp, Neurodegenerative Disease Management	2020	31
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices Tomás Arias‐Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco‐Arroyave, Speech RecordingsEngineeringMobile DevicesWearable TechnologyPathological Speech	2018	27

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