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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies. - Nina Hosseini-Kivanani; Juan Camilo Vásquez-Correa; Manfred Stede; Elmar Nöth (ACL (2), 2019)

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)

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)

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data. - Philipp Klumpp; Juan Camilo Vásquez-Correa; Tino Haderlein; Elmar Nöth (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)

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)

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)

Assessing the Dysarthria Level of Parkinson's Disease Patients with GMM-UBM Supervectors Using Phonological Posteriors and Diadochokinetic Exercises. - Gabriel F. Miller; Juan Camilo Vásquez-Correa; Elmar Nöth (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)

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)

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)

One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots. - Juan Camilo Vásquez-Correa; Juan Carlos Guerrero-Sierra; Jose Luis Pemberty-Tamayo; Juan Esteban Jaramillo; Andres Felipe Tejada-Castro (CoRR, 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)

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)

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)

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)

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)

When Whisper Meets TTS: Domain Adaptation Using only Synthetic Speech Data. - Juan Camilo Vásquez-Correa; Haritz Arzelus; Juan M. Martín-Doñas; Joaquín Arellano; Ander González-Docasal; Aitor Álvarez (TSD, 2023)

Fostering Trustworthiness of Federated Learning Ecosystem through Realistic Scenarios. - Athanasios Psaltis; Kassiani Zafeirouli; Peter Leskovský; Stavroula Bourou; Juan Camilo Vásquez-Correa; Aitor García-Pablos; Santiago Cerezo Sánchez; Anastasios Dimou; Charalampos Z. Patrikakis; Petros Daras (Inf., 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)

Multimodal Assessment of Parkinson's Disease Patients Using Information from Speech, Handwriting, and Gait (Multimodale Verarbeitung von Parkinson-Krankheit unter Verwendung von Informationen aus Sprache, Handschrift und Gang) - Juan Camilo Vásquez-Correa (2023)

Novel Speech Recognition Systems Applied to Forensics within Child Exploitation: Wav2vec2.0 vs. Whisper. - Juan Camilo Vásquez-Correa; Aitor Álvarez Muniain (Sensors, 2023)

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)

Stream-based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning. - Santiago Andres Moreno-Acevedo; Juan Camilo Vásquez-Correa; Juan M. Martín-Doñas; Aitor Álvarez (TSD (2), 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)

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)