Universidad de Antioquía (UDEA)

Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches (2025) Roldan-Vasco S, Orozco-Duque A, Orozco-Arroyave JR Journal article Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting (2025) Gallo-Aristizabal JD, Escobar-Grisales D, Ríos-Urrego CD, Vargas-Bonilla JF, García AM, Orozco-Arroyave JR Journal article Multimodal evaluation of customer satisfaction from voicemails using speech and language representations (2025) Parra-Gallego LF, Arias-Vergara T, Orozco-Arroyave JR Journal article Synchronous Analysis of Speech Production and Lips Movement to Detect Parkinson’s Disease Using Deep Learning Methods (2025) Ríos-Urrego CD, Escobar-Grisales D, Orozco-Arroyave JR Journal article On the Use of a Foundation Acoustic Model to Identify Highly Relevant Phonetic Information of Parkinson’s Speech (2025) Escobar-Grisales D, Ríos-Urrego CD, Orozco-Arroyave JR Conference contribution Automatic speech-based assessment to discriminate Parkinson’s disease from essential tremor with a cross-language approach (2024) Rios-Urrego CD, Rusz J, Orozco-Arroyave JR Journal article Sympathovagal quotient and resting-state functional connectivity of control networks are related to gut Ruminococcaceae abundance in healthy men (2024) Miranda-Angulo AL, Sánchez-López JD, Vargas-Tejada DA, Hawkins-Caicedo V, Calderón JC, Gallo-Villegas J, Alzate-Restrepo JF, et al. Journal article Robust language independent voice data driven Parkinson's disease detection (2024) Veetil IK, Sowmya V, Orozco-Arroyave JR, Gopalakrishnan EA Journal article Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort (2024) Kovac D, Mekyska J, Aharonson V, Harar P, Galaz Z, Rapcsak S, Orozco-Arroyave JR, et al. Journal article Robust Classification of Parkinson’s Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions (2024) Lopez-Santander DA, David Rios-Urrego C, Bergler C, Nöth E, Orozco-Arroyave JR Conference contribution