Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection. - Juan Rafael Orozco-Arroyave; S. Murillo Rendón; Andrés Marino Álvarez-Meza; Julián D. Arias-Londoño; Edilson Delgado-Trejos; Jesús Francisco Vargas-Bonilla; César Germán Castellanos-Domínguez (INTERSPEECH, 2011)

Automatic Detection of Hypernasality in Children. - S. Murillo Rendón; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Julián D. Arias-Londoño; César Germán Castellanos-Domínguez (IWINAC (2), 2011)

Nonlinear Dynamics for Hypernasality Detection. - Juan Rafael Orozco-Arroyave; S. Murillo Rendón; Jesús Francisco Vargas-Bonilla; Edilson Delgado-Trejos; Julián D. Arias-Londoño; Germán Castellanos-Domínguez (NOLISP, 2011)

Application of Nonlinear Dynamics Characterization to Emotional Speech. - Patricia Henríquez; Jesús B. Alonso; Miguel A. Ferrer; Carlos M. Travieso; Juan Rafael Orozco-Arroyave (NOLISP, 2011)

Automatic detection of hypernasal speech signals using nonlinear and entropy measurements. - Juan Rafael Orozco-Arroyave; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Elmar Nöth (INTERSPEECH, 2012)

Voice pathology detection in continuous speech using nonlinear dynamics. - Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Jesús B. Alonso; Miguel A. Ferrer; Carlos M. Travieso; Patricia Henríquez (ISSPA, 2012)

New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson's Disease. - Elkyn Alexander Belalcázar-Bolaños; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Julián D. Arias-Londoño; César Germán Castellanos-Domínguez; Elmar Nöth (IWINAC (1), 2013)

Perceptual Analysis of Speech Signals from People with Parkinson's Disease. - Juan Rafael Orozco-Arroyave; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Elmar Nöth (IWINAC (1), 2013)

Analysis of Speech from People with Parkinson's Disease through Nonlinear Dynamics. - Juan Rafael Orozco-Arroyave; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Elmar Nöth (NOLISP, 2013)

Automatic Detection of Laryngeal Pathologies in Running Speech Based on the HMM Transformation of the Nonlinear Dynamics. - Carlos M. Travieso; Jesús B. Alonso; Juan Rafael Orozco-Arroyave; Jordi Solé-Casals; Esteve Gallego-Jutglà (NOLISP, 2013)

Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words. - Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Julián D. Arias-Londoño; S. Murillo Rendón; Germán Castellanos-Domínguez; J. F. Garcés (Cogn. Comput., 2013)

Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech. - Patricia Henríquez Rodríguez; Jesús Bernardino Alonso Hernández; Miguel Angel Ferrer-Ballester; Carlos Manuel Travieso-González; Juan Rafael Orozco-Arroyave (Cogn. Comput., 2013)

Semi-Automatic Calibration for Dereverberation by Spectral Subtraction for Continuous Speech Recognition. - Korbinian Riedhammer; Tobias Bocklet; Juan Rafael Orozco-Arroyave; Elmar Nöth (ITG Symposium on Speech Communication, 2014)

Evaluation of wavelet measures on automatic detection of emotion in noisy and telephony speech signals. - Juan Camilo Vásquez-Correa; Nicanor García; Jesús Francisco Vargas-Bonilla; Juan Rafael Orozco-Arroyave; Julián David Arias-Londoño; M. O. Lucia Quintero (ICCST, 2014)

Automatic detection of parkinson's disease from words uttered in three different languages. - Juan Rafael Orozco-Arroyave; Florian Hönig; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Sabine Skodda; Jan Rusz; Elmar Nöth (INTERSPEECH, 2014)

New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease. - Juan Rafael Orozco-Arroyave; Julián David Arias-Londoño; Jesús Francisco Vargas-Bonilla; María Claudia Gonzalez-Rátiva; Elmar Nöth (LREC, 2014)

Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease. - Juan Rafael Orozco-Arroyave; Elkyn Alexander Belalcázar-Bolaños; Julián David Arias-Londoño; Jesús Francisco Vargas-Bonilla; Tino Haderlein; Elmar Nöth (TSD, 2014)

Nonlinear dynamics characterization of emotional speech. - Patricia Henríquez; Jesús B. Alonso; Miguel A. Ferrer; Carlos M. Travieso; Juan Rafael Orozco-Arroyave (Neurocomputing, 2014)

Emotion recognition from speech under environmental noise conditions using wavelet decomposition. - Juan Camilo Vásquez-Correa; Nicanor García; Juan Rafael Orozco-Arroyave; Julián David Arias-Londoño; Jesús Francisco Vargas-Bonilla; Elmar Nöth (ICCST, 2015)

Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease. - Juan Rafael Orozco-Arroyave; Florian Hönig; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Sabine Skodda; Jan Rusz; Elmar Nöth (INTERSPEECH, 2015)

The parkinson's condition sub-challenge: the data. - Juan Rafael Orozco-Arroyave (INTERSPEECH, 2015)

The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition. - Björn W. Schuller; Stefan Steidl; Anton Batliner; Simone Hantke; Florian Hönig; Juan Rafael Orozco-Arroyave; Elmar Nöth; Yue Zhang 014; Felix Weninger (INTERSPEECH, 2015)

Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Julián D. Arias-Londoño; Elmar Nöth (INTERSPEECH, 2015)

Low-frequency components analysis in running speech for the automatic detection of parkinson's disease. - Tatiana Villa-Cañas; Julián D. Arias-Londoño; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Elmar Nöth (INTERSPEECH, 2015)

Visual comparison of speaker groups. - Sebastian Wankerl; Florian Hönig; Anton Batliner; Juan Rafael Orozco-Arroyave; Elmar Nöth (INTERSPEECH, 2015)

Automatic Detection of Parkinson's Disease in Reverberant Environments. - Juan Rafael Orozco-Arroyave; Tino Haderlein; Elmar Nöth (TSD, 2015)

Automatic Detection of Parkinson's Disease from Compressed Speech Recordings. - Juan Rafael Orozco-Arroyave; Nicanor García; Jesús Francisco Vargas-Bonilla; Elmar Nöth (TSD, 2015)

Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; L. D. Avendaño; Elmar Nöth (TSD, 2015)

Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words. - Juan Rafael Orozco-Arroyave; Florian Hönig; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Elmar Nöth (Expert Syst. J. Knowl. Eng., 2015)

Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases. - Juan Rafael Orozco-Arroyave; Elkyn Alexander Belalcázar-Bolaños; Julián David Arias-Londoño; Jesús Francisco Vargas-Bonilla; Sabine Skodda; Jan Rusz; Khaled Daqrouq; Florian Hönig; Elmar Nöth (IEEE J. Biomed. Health Informatics, 2015)

Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech. - Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Tino Haderlein; Elmar Nöth (ITG Symposium on Speech Communication, 2016)

Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Elmar Nöth (ITG Symposium on Speech Communication, 2016)

Towards an automatic monitoring of the neurological state of Parkinson's patients from speech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Florian Hönig; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Sabine Skodda; Jan Rusz; Elmar Nöth (ICASSP, 2016)

Parkinson's Disease Progression Assessment from Speech Using GMM-UBM. - Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Elmar Nöth (INTERSPEECH, 2016)

Automatic Detection of Parkinson's Disease Based on Modulated Vowels. - Daria Hemmerling; Juan Rafael Orozco-Arroyave; Andrzej Skalski; Janusz Gajda; Elmar Nöth (INTERSPEECH, 2016)

Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches. - Elkyn Alexander Belalcázar-Bolaños; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Tino Haderlein; Elmar Nöth (TSD, 2016)

Degree of Parkinson's disease severity estimation based on speech signal processing. - Zoltan Galaz; Zdenek Mzourek; Jirí Mekyska; Zdenek Smékal; Tomas Kiska; Irena Rektorová; Juan Rafael Orozco-Arroyave; Khalid Daoudi (TSP, 2016)

Analysis of speech of people with Parkinson's disease. - Juan Rafael Orozco-Arroyave (Logos Verlag Berlin GmbH, 2016)

Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Julián D. Arias-Londoño; Jesús Francisco Vargas-Bonilla; Elmar Nöth (Recent Advances in Nonlinear Speech Processing, 2016)

On the impact of non-modal phonation on phonological features. - Milos Cernak; Elmar Nöth; Frank Rudzicz; Heidi Christensen; Juan Rafael Orozco-Arroyave; Raman Arora; Tobias Bocklet; Hamidreza Chinaei; Julius Hannink; Phani Sankar Nidadavolu; Juan Camilo Vásquez-Correa; Maria Yancheva; et al. (ICASSP, 2017)

Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Raman Arora; Elmar Nöth; Najim Dehak; Heidi Christensen; Frank Rudzicz; Tobias Bocklet; Milos Cernak; Hamid R. Chinaei; Julius Hannink; Phani Sankar Nidadavolu; et al. (ICASSP, 2017)

Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech. - Juan Camilo Vásquez-Correa; Joan Serrà; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Elmar Nöth (ICASSP, 2017)

Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors. - Nicanor García; Juan Rafael Orozco-Arroyave; Luis Fernando D'Haro; Najim Dehak; Elmar Nöth (INTERSPEECH, 2017)

Apkinson - A Mobile Monitoring Solution for Parkinson's Disease. - Philipp Klumpp; Thomas Janu; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (INTERSPEECH, 2017)

Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease. - Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (INTERSPEECH, 2017)

Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease. - J. C. Jiménez-Monsalve; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Pedro Gómez-Vilda (IWINAC (2), 2017)

Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application. - Tomás Arias-Vergara; Philipp Klumpp; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (TSD, 2017)

Language Independent Assessment of Motor Impairments of Patients with Parkinson's Disease Using i-Vectors. - Nicanor García; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Najim Dehak; Elmar Nöth (TSD, 2017)

Speaker Model to Monitor the Neurological State and the Dysarthria Level of Patients with Parkinson's Disease. - Juan Camilo Vásquez-Correa; Reynel Castrillón; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Elmar Nöth (TSD, 2017)

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 (Cogn. Comput., 2017)

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. - Milos Cernak; Juan Rafael Orozco-Arroyave; Frank Rudzicz; Heidi Christensen; Juan Camilo Vásquez-Correa; Elmar Nöth (Comput. Speech Lang., 2017)

Detection of different voice diseases based on the nonlinear characterization of speech signals. - Carlos M. Travieso; Jesús B. Alonso; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla; Elmar Nöth; Antonio G. Ravelo-García (Expert Syst. Appl., 2017)

Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. - Elif Eyigöz; Pablo Polosecki; Adolfo M. García; Katharina Rogg; Juan Rafael Orozco-Arroyave; Sabine Skodda; Eugenia Hesse; Agustín Ibáñez; Guillermo A. Cecchi (AAAI Workshops, 2018)

Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jan Rusz; Sabine Skodda; Francisco Grandas; José-Miguel Velazquez; Juan Rafael Orozco-Arroyave; Elmar Nöth; Najim Dehak (EMBC, 2018)

Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices. - Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Philipp Klumpp; Elmar Nöth (ICASSP, 2018)

Speaker Verification System for Online Education Platforms. - Nicanor García-Ospina; Juan Rafael Orozco-Arroyave; Jesús Francisco Vargas-Bonilla (ICCST, 2018)

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease. - Nicanor García; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (INTERSPEECH, 2018)

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; Elmar Nöth (INTERSPEECH, 2018)

Phonological i-Vectors to Detect Parkinson's Disease. - Nicanor García-Ospina; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Milos Cernak; Elmar Nöth (TSD, 2018)

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease. - Juan Camilo Vásquez-Correa; Nicanor García-Ospina; Juan Rafael Orozco-Arroyave; Milos Cernak; Elmar Nöth (TSD, 2018)

Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises. - L. Felipe Parra-Gallego; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Nicanor García-Ospina; Juan Rafael Orozco-Arroyave; Elmar Nöth (WEA (2), 2018)

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease. - Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Nicanor García-Ospina; Juan Rafael Orozco-Arroyave; Elmar Nöth (WEA (2), 2018)

Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease. - Laureano Moro-Velázquez; Jorge Andrés Gómez García; Juan Ignacio Godino-Llorente; Jesús Villalba 001; Juan Rafael Orozco-Arroyave; Najim Dehak (Appl. Soft Comput., 2018)

NeuroSpeech: An open-source software for Parkinson's speech analysis. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (Digit. Signal Process., 2018)

NeuroSpeech. - Juan Rafael Orozco-Arroyave; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Raman Arora; Najim Dehak; Phani S. Nidadavolu; Heidi Christensen; Frank Rudzicz; Maria Yancheva; Hamid R. Chinaei; Alyssa Vann; Nikolai Vogler; et al. (SoftwareX, 2018)

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; Elmar Nöth (Speech Commun., 2018)

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users. - Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Sandra Gollwitzer; Juan Rafael Orozco-Arroyave; Maria Schuster; Elmar Nöth (CIARP, 2019)

Articulation Analysis in the Speech of Children with Cleft Lip and Palate. - H. A. Carvajal-Castaño; Juan Rafael Orozco-Arroyave (CIARP, 2019)

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Cristian D. Ríos-Urrego; Maria Schuster; Jan Rusz; Juan Rafael Orozco-Arroyave; Elmar Nöth (CIARP, 2019)

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients. - Juan Camilo Vásquez-Correa; Cristian D. Ríos-Urrego; Alice Rueda; Juan Rafael Orozco-Arroyave; Sri Krishnan; Elmar Nöth (CIARP, 2019)

Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification. - Marek Wodzinski; Andrzej Skalski; Daria Hemmerling; Juan Rafael Orozco-Arroyave; Elmar Nöth (EMBC, 2019)

Characterization of the Handwriting Skills as a Biomarker for Parkinson's Disease. - Reynel Castrillón; Alejandro Acien; Juan Rafael Orozco-Arroyave; Aythami Morales; Jesús Francisco Vargas-Bonilla; Rubén Vera-Rodríguez; Julian Fiérrez; Javier Ortega-Garcia; Álvaro Villegas (FG, 2019)

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users. - Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Milos Cernak; Sandra Gollwitzer; Maria Schuster; Elmar Nöth (INTERSPEECH, 2019)

Assessing Parkinson's Disease from Speech Using Fisher Vectors. - José Vicente Egas López; Juan Rafael Orozco-Arroyave; Gábor Gosztolya (INTERSPEECH, 2019)

Feature Representation of Pathophysiology of Parkinsonian Dysarthria. - Alice Rueda; Juan Camilo Vásquez-Correa; Cristian David Ríos-Urrego; Juan Rafael Orozco-Arroyave; Sridhar Krishnan 001; Elmar Nöth (INTERSPEECH, 2019)

Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Philipp Klumpp; M. Strauss; Arne Küderle; Nils Roth; Sebastian P. Bayerl; Nicanor García-Ospina; Paula Andrea Pérez-Toro; L. Felipe Parra-Gallego; Cristian David Ríos-Urrego; Daniel Escobar-Grisales; et al. (INTERSPEECH, 2019)

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech. - Juan Camilo Vásquez-Correa; Philipp Klumpp; Juan Rafael Orozco-Arroyave; Elmar Nöth (INTERSPEECH, 2019)

Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users. - Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Sandra Gollwitzer; Maria Schuster; Elmar Nöth (TSD, 2019)

Natural Language Analysis to Detect Parkinson's Disease. - Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Martin Strauss 003; Juan Rafael Orozco-Arroyave; Elmar Nöth (TSD, 2019)

Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features. - Cristian D. Ríos-Urrego; Juan Camilo Vásquez-Correa; Jesús Francisco Vargas-Bonilla; Elmar Nöth; Francisco Lopera; Juan Rafael Orozco-Arroyave (Comput. Methods Programs Biomed., 2019)

Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease. - Reynel Castrillón; Alejandro Acien; Juan Rafael Orozco-Arroyave; Aythami Morales; Jesús Francisco Vargas-Bonilla; Rubén Vera-Rodríguez; Julian Fiérrez; Javier Ortega-Garcia; Álvaro Villegas (CoRR, 2019)

Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Björn M. Eskofier; Jochen Klucken; Elmar Nöth (IEEE J. Biomed. Health Informatics, 2019)

Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients. - Juan Camilo Vásquez-Correa; Tobias Bocklet; Juan Rafael Orozco-Arroyave; Elmar Nöth (ICASSP, 2020)

Surgical Mask Detection with Deep Recurrent Phonetic Models. - Philipp Klumpp; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Paula Andrea Pérez-Toro; Florian Hönig; Elmar Nöth; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2020)

Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. - Elif Eyigöz; Mary Pietrowicz; Carla Agurto; Juan Rafael Orozco-Arroyave; Adolfo M. García; Sabine Skodda; Jan Rusz; Elmar Nöth; Guillermo A. Cecchi (RaPID@LREC, 2020)

Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson's Patients. - Patricia Argüello-Vélez; Tomás Arias-Vergara; María Claudia Gonzalez-Rátiva; Juan Rafael Orozco-Arroyave; Elmar Nöth; Maria Schuster (TDS, 2020)

Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing. - Cristian David Ríos-Urrego; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (TDS, 2020)

Electrophysiological and Mechanical Approaches to the Swallowing Analysis. - Juan Pablo Restrepo-Uribe; Sebastian Roldan-Vasco; Estefania Perez-Giraldo; Juan Rafael Orozco-Arroyave; Andrés Orozco-Duque (WEA, 2020)

Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. - Biswajit Karan; Sitanshu Sekhar Sahu; Juan Rafael Orozco-Arroyave; Kartik Mahto (Biomed. Signal Process. Control., 2020)

Exploring Facial Expressions and Affective Domains for Parkinson Detection. - Luis Felipe Gomez-Gomez; Aythami Morales; Julian Fiérrez; Juan Rafael Orozco-Arroyave (CoRR, 2020)

Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech. - Abdellah Kacha; Francis Grenez; Juan Rafael Orozco-Arroyave; Jean Schoentgen (Comput. Speech Lang., 2020)

Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units. - Tomás Arias-Vergara; Patricia Argüello-Vélez; Juan Camilo Vásquez-Correa; Elmar Nöth; Maria Schuster; María Claudia Gonzalez-Rátiva; Juan Rafael Orozco-Arroyave (Digit. Signal Process., 2020)

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; Maria Schuster; Juan Rafael Orozco-Arroyave; Elmar Nöth (Speech Commun., 2020)

Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals. - Daniel Escobar-Grisales; Cristian D. Ríos-Urrego; Diego Alexander Lopez-Santander; Jeferson David Gallo-Aristizábal; Juan Camilo Vásquez-Correa; Elmar Nöth; Juan Rafael Orozco-Arroyave (ASRU, 2021)

Improving Parkinson Detection Using Dynamic Features From Evoked Expressions in Video. - Luis Felipe Gomez-Gomez; Aythami Morales; Juan Rafael Orozco-Arroyave; Roberto Daza; Julian Fiérrez (CVPR Workshops, 2021)

Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease. - Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Philipp Klumpp; M. Sierra-Castrillón; M. E. Roldán-López; David Aguillón; Liliana Hincapié-Henao; Carlos Andrés Tobón-Quintero; Tobias Bocklet; Maria Schuster; Juan Rafael Orozco-Arroyave; et al. (ICASSP, 2021)

End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data. - Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Philipp Klumpp; Paula Andrea Pérez-Toro; Juan Rafael Orozco-Arroyave; Elmar Nöth (ICASSP, 2021)

The Phonetic Footprint of Covid-19? - Philipp Klumpp; Tobias Bocklet; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Paula Andrea Pérez-Toro; Sebastian P. Bayerl; Juan Rafael Orozco-Arroyave; Elmar Nöth (Interspeech, 2021)

Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge. - Paula Andrea Pérez-Toro; Sebastian P. Bayerl; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Philipp Klumpp; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave; Korbinian Riedhammer (Interspeech, 2021)

On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. - Juan Camilo Vásquez-Correa; Julian Fritsch; Juan Rafael Orozco-Arroyave; Elmar Nöth; Mathew Magimai-Doss (Interspeech, 2021)

Emotional State Modeling for the Assessment of Depression in Parkinson's Disease. - Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Tomás Arias-Vergara; Philipp Klumpp; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave (TDS, 2021)

Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification? - Cristian D. Ríos-Urrego; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (TDS, 2021)

Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning. - Daniel Escobar-Grisales; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave (WEA, 2021)

Automatic Classification of Energy Consumption Profiles in Processes of the Oil & Gas Industry in Colombia. - Bryan Escobar-Restrepo; Juan Felipe Botero; Juan Rafael Orozco-Arroyave (WEA, 2021)

Evaluation of Different Word Embeddings to Create Personality Models in Spanish. - Felipe Orlando López-Pabón; Juan Rafael Orozco-Arroyave (WEA, 2021)

Robust Automatic Speech Recognition for Call Center Applications. - Luis Felipe Parra-Gallego; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave (WEA, 2021)

A machine learning perspective on the emotional content of Parkinsonian speech. - Konstantinos Sechidis; Riccardo Fusaroli; Juan Rafael Orozco-Arroyave; Detlef Wolf; Yan-Ping Zhang (Artif. Intell. Medicine, 2021)

Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia. - Sebastian Roldan-Vasco; Andrés Orozco-Duque; Juan Camilo Suarez-Escudero; Juan Rafael Orozco-Arroyave (Comput. Methods Programs Biomed., 2021)

Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction. - Biswajit Karan; Sitanshu Sekhar Sahu; Juan Rafael Orozco-Arroyave; Kartik Mahto (Comput. Speech Lang., 2021)

An algorithm for Parkinson's disease speech classification based on isolated words analysis. - Federica Amato; Luigi Borzì; Gabriella Olmo; Juan Rafael Orozco-Arroyave (Health Inf. Sci. Syst., 2021)

Multi-channel spectrograms for speech processing applications using deep learning methods. - Tomás Arias-Vergara; Philipp Klumpp; Juan Camilo Vásquez-Correa; Elmar Nöth; Juan Rafael Orozco-Arroyave; Maria Schuster (Pattern Anal. Appl., 2021)

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; Maria Schuster; Jan Rusz; Elmar Nöth; Juan Rafael Orozco-Arroyave (Pattern Recognit. Lett., 2021)

Shifted Delta Cepstral Coefficients with RNN to Improve the Detection of Parkinson's Disease from the Speech. - Anshul Lahoti; Krishna Gurugubelli; Juan Rafael Orozco-Arroyave; Anil Kumar Vuppala (IC3, 2022)

Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. - Abner Hernandez; Paula Andrea Pérez-Toro; Elmar Nöth; Juan Rafael Orozco-Arroyave; Andreas K. Maier; Seung Hee Yang (INTERSPEECH, 2022)

Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings. - Paula Andrea Pérez-Toro; Philipp Klumpp; Abner Hernandez; Tomas Arias; Patricia Lillo; Andrea Slachevsky; Adolfo Martín García; Maria Schuster; Andreas K. Maier; Elmar Nöth; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2022)

CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. - P. Schäfer; Paula Andrea Pérez-Toro; Philipp Klumpp; Juan Rafael Orozco-Arroyave; Elmar Nöth; Andreas K. Maier; A. Abad; Maria Schuster; Tomás Arias-Vergara (INTERSPEECH, 2022)

Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. - Philipp Klumpp; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Elmar Nöth; Juan Rafael Orozco-Arroyave (LREC, 2022)

50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders. - Paula Andrea Pérez-Toro; Philipp Klumpp; Juan Camilo Vásquez-Correa; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave; Tomás Arias-Vergara (TSD, 2022)

End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network. - Cristian David Ríos-Urrego; Santiago Andres Moreno-Acevedo; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD, 2022)

Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies. - Daniel Escobar-Grisales; Cristian D. Ríos-Urrego; Jeferson David Gallo-Aristizábal; Diego Alexander Lopez-Santander; N. R. Calvo-Ariza; Elmar Nöth; Juan Rafael Orozco-Arroyave (WEA, 2022)

Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets. - Santiago Andres Moreno-Acevedo; Daniel Escobar-Grisales; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave (WEA, 2022)

Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices. - Abner Hernandez; Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Andreas K. Maier; Seung Hee Yang (CoRR, 2022)

The phonetic footprint of Parkinson's disease. - Philipp Klumpp; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Paula Andrea Pérez-Toro; Juan Rafael Orozco-Arroyave; Anton Batliner; Elmar Nöth (Comput. Speech Lang., 2022)

Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. - Alice Rueda; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth; Sridhar Krishnan 001 (Comput. Speech Lang., 2022)

Classification of emotions and evaluation of customer satisfaction from speech in real world acoustic environments. - Luis Felipe Parra-Gallego; Juan Rafael Orozco-Arroyave (Digit. Signal Process., 2022)

Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. - Zoltan Galaz; Peter Drotár; Jirí Mekyska; Matej Gazda; Jan Mucha; Vojtech Zvoncak; Zdenek Smékal; Marcos Faúndez-Zanuy; Reinel Castrillon; Juan Rafael Orozco-Arroyave; Steven Z. Rapcsak; Tamas Kincses; et al. (Frontiers Neuroinformatics, 2022)

Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing. - Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Philipp Klumpp; Juan Camilo Vásquez-Correa; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave (Speech Commun., 2022)

Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings. - Daria Hemmerling; Marek Wodzinski; Juan Rafael Orozco-Arroyave; David Sztahó; Mateusz Daniol; Pawel Jemiolo; Magdalena Wójcik-Pedziwiatr (EMBC, 2023)

Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets. - Paula Andrea Pérez-Toro; Dalia Rodríguez-Salas; Tomás Arias-Vergara; Sebastian P. Bayerl; Philipp Klumpp; Korbinian Riedhammer; Maria Schuster; Elmar Nöth; Andreas K. Maier; Juan Rafael Orozco-Arroyave (ICASSP, 2023)

Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. - Soroosh Tayebi Arasteh; Cristian David Ríos-Urrego; Elmar Nöth; Andreas Maier 001; Seung Hee Yang; Jan Rusz; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

Measuring Phonological Precision in Children with Cleft Lip and Palate. - Tomás Arias-Vergara; Elizabeth Londoño-Mora; Paula Andrea Pérez-Toro; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave; Andreas Maier 001 (INTERSPEECH, 2023)

An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients. - Daniel Escobar-Grisales; Tomás Arias-Vergara; Cristian David Ríos-Urrego; Elmar Nöth; Adolfo M. García; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features. - Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Franziska Braun; Florian Hönig; Carlos Andrés Tobón-Quintero; David Aguillón; Francisco Lopera; Liliana Hincapié-Henao; Maria Schuster; Korbinian Riedhammer; Andreas Maier 001; Elmar Nöth; et al. (INTERSPEECH, 2023)

Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors. - Cristian David Ríos-Urrego; Jan Rusz; Elmar Nöth; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. - Jeferson David Gallo-Aristizábal; Daniel Escobar-Grisales; Cristian D. Ríos-Urrego; Paula Andrea Pérez-Toro; Elmar Nöth; Andreas Maier 001; Juan Rafael Orozco-Arroyave (ISBI, 2023)

Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification. - Santiago Andres Moreno-Acevedo; Cristian D. Ríos-Urrego; Juan Camilo Vásquez-Correa; Jan Rusz; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD, 2023)

Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis. - Cristian D. Ríos-Urrego; Daniel Escobar-Grisales; Santiago Andres Moreno-Acevedo; Paula Andrea Pérez-Toro; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD, 2023)

User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care. - Paula Andrea Pérez-Toro; Juan Camilo Vásquez-Correa; Tobias Bocklet; Elmar Nöth; Juan Rafael Orozco-Arroyave (IEEE Trans. Affect. Comput., 2023)

Swallowing disorders analysis using surface EMG biomarkers and classification models. - Sebastian Roldan-Vasco; Andrés Orozco-Duque; Juan Rafael Orozco-Arroyave (Digit. Signal Process., 2023)

Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals. - Sebastian Roldan-Vasco; Juan Pablo Restrepo-Uribe; Andrés Orozco-Duque; Juan Camilo Suarez-Escudero; Juan Rafael Orozco-Arroyave (Biomed. Signal Process. Control., 2023)

Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators. - Johannes Hoffmann; Sebastian Roldan-Vasco; Karolin Krüger; Florian Niekiel; Clint Hansen; Walter Maetzler; Juan Rafael Orozco-Arroyave; Gerhard Schmidt (Sensors, 2023)

Longitudinal Modeling of Depression Shifts Using Speech and Language. - Paula Andrea Pérez-Toro; Judith Dineley; Agnieszka Kaczkowska; Pauline Conde; Yuezhou Zhang; Faith Matcham; Sara Siddi; Josep Maria Haro; Stuart Bruce; Til Wykes; Raquel Bailón; Srinivasan Vairavan; et al. (ICASSP, 2024)

It's Time to Take Action: Acoustic Modeling of Motor Verbs to Detect Parkinson's Disease. - Daniel Escobar-Grisales; Cristian David Ríos-Urrego; Ilja Baumann; Korbinian Riedhammer; Elmar Nöth; Tobias Bocklet; Adolfo M. García; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2024)

Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction. - Luis Felipe Parra-Gallego; Tilak Purohit; Bogdan Vlasenko; Juan Rafael Orozco-Arroyave; Mathew Magimai-Doss (INTERSPEECH, 2024)

Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge. - Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Philipp Klumpp; Tobias Weise; Maria Schuster; Elmar Nöth; Juan Rafael Orozco-Arroyave; Andreas K. Maier (INTERSPEECH, 2024)

Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions. - Moreno La Quatra; Maria Francesca Turco; Torbjørn Svendsen; Giampiero Salvi; Juan Rafael Orozco-Arroyave; Sabato Marco Siniscalchi (INTERSPEECH, 2024)

Automatic Classification of Parkinson's Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels. - Jeferson David Gallo-Aristizábal; Daniel Escobar-Grisales; Cristian David Ríos-Urrego; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD (2), 2024)

Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation. - Abner Hernandez; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Juan Camilo Vásquez-Correa; Seung Hee Yang; Juan Rafael Orozco-Arroyave; Andreas K. Maier (TSD (2), 2024)

Robust Classification of Parkinson's Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions. - Diego Alexander Lopez-Santander; Cristian David Ríos-Urrego; Christian Bergler; Elmar Nöth; Juan Rafael Orozco-Arroyave (TSD (2), 2024)

A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. - K. Deepa Raj; G. Jyothish Lal; E. A. Gopalakrishnan; V. Sowmya 001; Juan Rafael Orozco-Arroyave (IEEE Access, 2024)

Differential privacy for protecting patient data in speech disorder detection using deep learning. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Maria Schuster; Andreas K. Maier; Seung Hee Yang (CoRR, 2024)

Robust language independent voice data driven Parkinson's disease detection. - Iswarya Kannoth Veetil; V. Sowmya 001; Juan Rafael Orozco-Arroyave; E. A. Gopalakrishnan (Eng. Appl. Artif. Intell., 2024)

An automatic measure for speech intelligibility in dysarthrias - validation across multiple languages and neurological disorders. - Johannes Tröger; Felix Dörr; Louisa Schwed; Nicklas Linz; Alexandra König; Tabea Thies; Michael T. Barbe; Juan Rafael Orozco-Arroyave; Jan Rusz (Frontiers Digit. Health, 2024)

Corrigendum: An automatic measure for speech intelligibility in dysarthrias - validation across multiple languages and neurological disorders. - Johannes Tröger; Felix Dörr; Louisa Schwed; Nicklas Linz; Alexandra König; Tabea Thies; Michael T. Barbe; Juan Rafael Orozco-Arroyave; Jan Rusz (Frontiers Digit. Health, 2024)

Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach. - Cristian David Ríos-Urrego; Jan Rusz; Juan Rafael Orozco-Arroyave (npj Digit. Medicine, 2024)

Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions. - Daniel Escobar-Grisales; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave (Multim. Tools Appl., 2024)

Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort. - Daniel Kovac; Jirí Mekyska; Vered Aharonson; Pavol Harár; Zoltan Galaz; Steven Z. Rapcsak; Juan Rafael Orozco-Arroyave; Lubos Brabenec; Irena Rektorová (Biomed. Signal Process. Control., 2024)

Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions. - Gabriel Figueiredo Miller; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (Comput. Speech Lang., 2024)

Empathetic Deep Learning: Transferring Adult Speech Emotion Models to Children With Gender-Specific Adaptations Using Neural Embeddings. - Elina Lesyk; Tomás Arias-Vergara; Elmar Nöth; Andreas Maier 001; Juan Rafael Orozco-Arroyave; Paula Andrea Pérez-Toro (Hum. Centric Intell. Syst., 2024)

Parkinson's Disease Detection Using Wavelet Packet Absolute Amplitude Deviation (WPAAD) from voice signals. - Pandit Vivek Kumar Pandey; Sitanshu Sekhar Sahu; Biswajit Karan; Juan Rafael Orozco-Arroyave (ICASSP Workshops, 2025)

Automatic Parkinson's disease detection from speech: Layer selection vs adaptation of foundation models. - Tilak Purohit; Barbara Ruvolo; Juan Rafael Orozco-Arroyave; Mathew Magimai-Doss (ICASSP, 2025)

Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from Speech. - Moreno La Quatra; Juan Rafael Orozco-Arroyave; Sabato Marco Siniscalchi (ICASSP, 2025)

Exploring the Complexity of Parkinson's Patient Speech for Depression Detection task: A Qualitative Analysis. - Barbara Ruvolo; Tilak Purohit; Bogdan Vlasenko; Juan Rafael Orozco-Arroyave; Mathew Magimai-Doss (ICASSP Workshops, 2025)

Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches. - Sebastian Roldan-Vasco; Andrés Orozco-Duque; Juan Rafael Orozco-Arroyave (Biomed. Signal Process. Control., 2025)

Multimodal evaluation of customer satisfaction from voicemails using speech and language representations. - Luis Felipe Parra-Gallego; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave (Digit. Signal Process., 2025)

A Speech-to-Video Synthesis Approach Using Spatio-Temporal Diffusion for Vocal Tract MRI. - Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Fangxu Xing; Xiaofeng Liu 001; Maureen Stone 001; Jiachen Zhuo; Juan Rafael Orozco-Arroyave; Elmar Nöth; Jana Hutter; Jerry L. Prince; Andreas K. Maier; Jonghye Woo (CoRR, 2025)

Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages. - Chin-Jou Li; Eunjung Yeo; Kwanghee Choi; Paula Andrea Pérez-Toro; Masao Someki; Rohan Kumar Das; Zhengjun Yue; Juan Rafael Orozco-Arroyave; Elmar Nöth; David R. Mortensen (CoRR, 2025)