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ORCIDJuan Rafael Orozco-Arroyave
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2020 – today
- 2024
[j40]K. Deepa Raj
, G. Jyothish Lal, E. A. Gopalakrishnan, V. Sowmya, Juan Rafael Orozco-Arroyave:
A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. IEEE Access 12: 87077-87096 (2024)- [j39]Daniel Kovac, Jirí Mekyska, Vered Aharonson, Pavol Harár, Zoltan Galaz, Steven Z. Rapcsak, Juan Rafael Orozco-Arroyave, Lubos Brabenec, Irena Rektorová:
Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort. Biomed. Signal Process. Control. 88(Part B): 105667 (2024) - [j38]Gabriel Figueiredo Miller, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions. Comput. Speech Lang. 85: 101584 (2024) - [j37]Iswarya Kannoth Veetil, V. Sowmya, Juan Rafael Orozco-Arroyave, E. A. Gopalakrishnan:
Robust language independent voice data driven Parkinson's disease detection. Eng. Appl. Artif. Intell. 129: 107494 (2024) - [j36]Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions. Multim. Tools Appl. 83(2): 5473-5492 (2024) - [j35]Cristian David Ríos-Urrego, Jan Rusz, Juan Rafael Orozco-Arroyave:
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach. npj Digit. Medicine 7(1) (2024) - [c107]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, Richard J. B. Dobson, Andreas K. Maier, Elmar Nöth, Juan Rafael Orozco-Arroyave, Vaibhav A. Narayan, Nicholas Cummins:
Longitudinal Modeling of Depression Shifts Using Speech and Language. ICASSP 2024: 12021-12025 - [c106]Abner Hernandez, Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Seung Hee Yang, Juan Rafael Orozco-Arroyave, Andreas K. Maier:
Anonymizing Dysarthric Speech: Investigating the Effects of Voice Conversion on Pathological Information Preservation. TSD (2) 2024: 149-160 - [c105]Diego Alexander Lopez-Santander, Cristian David Ríos-Urrego, Christian Bergler, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Robust Classification of Parkinson's Speech: an Approximation to a Scenario With Non-controlled Acoustic Conditions. TSD (2) 2024: 252-262 - [c104]Jeferson David Gallo-Aristizábal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Automatic Classification of Parkinson's Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels. TSD (2) 2024: 313-323 - 2023
- [j34]Sebastian Roldan-Vasco, Juan Pablo Restrepo-Uribe, Andrés Orozco-Duque, Juan Camilo Suarez-Escudero, Juan Rafael Orozco-Arroyave:
Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals. Biomed. Signal Process. Control. 82: 104533 (2023) - [j33]Sebastian Roldan-Vasco, Andrés Orozco-Duque, Juan Rafael Orozco-Arroyave:
Swallowing disorders analysis using surface EMG biomarkers and classification models. Digit. Signal Process. 133: 103815 (2023) - [j32]Johannes Hoffmann, Sebastian Roldan-Vasco, Karolin Krüger, Florian Niekiel, Clint Hansen, Walter Maetzler, Juan Rafael Orozco-Arroyave, Gerhard Schmidt:
Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators. Sensors 23(7): 3594 (2023) - [j31]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tobias Bocklet, Elmar Nöth, Juan Rafael Orozco-Arroyave:
User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care. IEEE Trans. Affect. Comput. 14(2): 1533-1546 (2023) - [c103]Daria Hemmerling, Marek Wodzinski, Juan Rafael Orozco-Arroyave, David Sztahó, Mateusz Daniol, Pawel Jemiolo, Magdalena Wójcik-Pedziwiatr:
Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings. EMBC 2023: 1-4 - [c102]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:
Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets. ICASSP 2023: 1-5 - [c101]Daniel Escobar-Grisales, Tomás Arias-Vergara, Cristian David Ríos-Urrego, Elmar Nöth, Adolfo M. García, Juan Rafael Orozco-Arroyave:
An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson's Disease Patients. INTERSPEECH 2023: 1703-1707 - [c100]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, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features. INTERSPEECH 2023: 1748-1752 - [c99]Cristian David Ríos-Urrego, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors. INTERSPEECH 2023: 2368-2372 - [c98]Tomás Arias-Vergara, Elizabeth Londoño-Mora, Paula Andrea Pérez-Toro, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas Maier:
Measuring Phonological Precision in Children with Cleft Lip and Palate. INTERSPEECH 2023: 4638-4642 - [c97]Soroosh Tayebi Arasteh, Cristian David Ríos-Urrego, Elmar Nöth, Andreas Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave:
Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. INTERSPEECH 2023: 5003-5007 - [c96]Jeferson David Gallo-Aristizábal, Daniel Escobar-Grisales, Cristian D. Ríos-Urrego, Paula Andrea Pérez-Toro, Elmar Nöth, Andreas Maier, Juan Rafael Orozco-Arroyave:
Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks. ISBI 2023: 1-4 - [c95]Cristian D. Ríos-Urrego, Daniel Escobar-Grisales, Santiago Andres Moreno-Acevedo, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis. TSD 2023: 339-348 - [c94]Santiago Andres Moreno-Acevedo, Cristian D. Ríos-Urrego, Juan Camilo Vásquez-Correa, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification. TSD 2023: 349-359 - [i13]Soroosh Tayebi Arasteh, Cristian David Ríos-Urrego, Elmar Nöth, Andreas K. Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave:
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages. CoRR abs/2305.11284 (2023) - 2022
- [j30]Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth:
The phonetic footprint of Parkinson's disease. Comput. Speech Lang. 72: 101321 (2022) - [j29]Alice Rueda, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth, Sridhar Krishnan:
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia. Comput. Speech Lang. 72: 101322 (2022) - [j28]Luis Felipe Parra-Gallego, Juan Rafael Orozco-Arroyave:
Classification of emotions and evaluation of customer satisfaction from speech in real world acoustic environments. Digit. Signal Process. 120: 103286 (2022) - [j27]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, Lubos Brabenec, Irena Rektorová:
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [j26]Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing. Speech Commun. 145: 10-20 (2022) - [c93]Anshul Lahoti, Krishna Gurugubelli, Juan Rafael Orozco-Arroyave, Anil Kumar Vuppala:
Shifted Delta Cepstral Coefficients with RNN to Improve the Detection of Parkinson's Disease from the Speech. IC3 2022: 284-288 - [c92]Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang:
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. INTERSPEECH 2022: 51-55 - [c91]P. Schäfer, Paula Andrea Pérez-Toro, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth, Andreas K. Maier, A. Abad, Maria Schuster, Tomás Arias-Vergara:
CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss. INTERSPEECH 2022: 1959-1960 - [c90]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:
Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings. INTERSPEECH 2022: 2483-2487 - [c89]Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. LREC 2022: 763-768 - [c88]Cristian David Ríos-Urrego, Santiago Andres Moreno-Acevedo, Elmar Nöth, Juan Rafael Orozco-Arroyave:
End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network. TSD 2022: 326-338 - [c87]Paula Andrea Pérez-Toro, Philipp Klumpp, Juan Camilo Vásquez-Correa, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave, Tomás Arias-Vergara:
50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders. TSD 2022: 352-363 - [c86]Santiago Andres Moreno-Acevedo, Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets. WEA 2022: 41-53 - [c85]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:
Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies. WEA 2022: 54-65 - [i12]Philipp Klumpp, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling. CoRR abs/2201.05912 (2022) - [i11]Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang:
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition. CoRR abs/2204.01670 (2022) - [i10]Abner Hernandez, Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Andreas K. Maier, Seung Hee Yang:
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices. CoRR abs/2204.01677 (2022) - [i9]Gabriel Figueiredo Miller, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions. CoRR abs/2209.08379 (2022) - 2021
- [j25]Konstantinos Sechidis, Riccardo Fusaroli, Juan Rafael Orozco-Arroyave, Detlef Wolf, Yan-Ping Zhang:
A machine learning perspective on the emotional content of Parkinsonian speech. Artif. Intell. Medicine 115: 102061 (2021) - [j24]Sebastian Roldan-Vasco, Andrés Orozco-Duque, Juan Camilo Suarez-Escudero, Juan Rafael Orozco-Arroyave:
Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia. Comput. Methods Programs Biomed. 208: 106248 (2021) - [j23]Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto:
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction. Comput. Speech Lang. 69: 101216 (2021) - [j22]Federica Amato, Luigi Borzì, Gabriella Olmo, Juan Rafael Orozco-Arroyave:
An algorithm for Parkinson's disease speech classification based on isolated words analysis. Health Inf. Sci. Syst. 9(1): 32 (2021) - [j21]Tomás Arias-Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Elmar Nöth, Juan Rafael Orozco-Arroyave, Maria Schuster:
Multi-channel spectrograms for speech processing applications using deep learning methods. Pattern Anal. Appl. 24(2): 423-431 (2021) - [j20]Juan Camilo Vásquez-Correa, Cristian David Ríos-Urrego, Tomás Arias-Vergara, Maria Schuster, Jan Rusz, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages. Pattern Recognit. Lett. 150: 272-279 (2021) - [c84]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:
Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals. ASRU 2021: 556-563 - [c83]Luis Felipe Gomez-Gomez, Aythami Morales, Juan Rafael Orozco-Arroyave, Roberto Daza, Julian Fiérrez:
Improving Parkinson Detection Using Dynamic Features From Evoked Expressions in Video. CVPR Workshops 2021: 1562-1570 - [c82]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Elmar Nöth:
End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data. ICASSP 2021: 7298-7302 - [c81]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, Elmar Nöth:
Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease. ICASSP 2021: 8338-8342 - [c80]Juan Camilo Vásquez-Correa, Julian Fritsch, Juan Rafael Orozco-Arroyave, Elmar Nöth, Mathew Magimai-Doss:
On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease. Interspeech 2021: 26-30 - [c79]Philipp Klumpp, Tobias Bocklet, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Sebastian P. Bayerl, Juan Rafael Orozco-Arroyave, Elmar Nöth:
The Phonetic Footprint of Covid-19? Interspeech 2021: 441-445 - [c78]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:
Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge. Interspeech 2021: 3785-3789 - [c77]Cristian D. Ríos-Urrego, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification? TDS 2021: 435-447 - [c76]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Philipp Klumpp, Maria Schuster, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Emotional State Modeling for the Assessment of Depression in Parkinson's Disease. TDS 2021: 457-468 - [c75]Bryan Escobar-Restrepo, Juan Felipe Botero, Juan Rafael Orozco-Arroyave:
Automatic Classification of Energy Consumption Profiles in Processes of the Oil & Gas Industry in Colombia. WEA 2021: 49-59 - [c74]Luis Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave:
Robust Automatic Speech Recognition for Call Center Applications. WEA 2021: 72-83 - [c73]Felipe Orlando López-Pabón, Juan Rafael Orozco-Arroyave:
Evaluation of Different Word Embeddings to Create Personality Models in Spanish. WEA 2021: 121-132 - [c72]Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning. WEA 2021: 171-179 - [i8]Daniel Escobar-Grisales, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning. CoRR abs/2107.02759 (2021) - [i7]Luis Felipe Parra-Gallego, Juan Rafael Orozco-Arroyave:
Classification of Emotions and Evaluation of Customer Satisfaction from Speech in Real World Acoustic Environments. CoRR abs/2108.11981 (2021) - [i6]Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Juan Rafael Orozco-Arroyave, Anton Batliner, Elmar Nöth:
The Phonetic Footprint of Parkinson's Disease. CoRR abs/2112.11514 (2021) - 2020
- [j19]Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto:
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. Biomed. Signal Process. Control. 61: 102018 (2020) - [j18]Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto:
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. Biomed. Signal Process. Control. 61: 102050 (2020) - [j17]Abdellah Kacha, Francis Grenez, Juan Rafael Orozco-Arroyave, Jean Schoentgen:
Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech. Comput. Speech Lang. 59: 114-122 (2020) - [j16]Tomás Arias-Vergara, Patricia Argüello-Vélez, Juan Camilo Vásquez-Correa, Elmar Nöth, Maria Schuster, María Claudia Gonzalez-Rátiva, Juan Rafael Orozco-Arroyave:
Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units. Digit. Signal Process. 104: 102779 (2020) - [j15]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Maria Schuster, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate. Speech Commun. 122: 56-67 (2020) - [c71]Juan Camilo Vásquez-Correa, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients. ICASSP 2020: 6544-6548 - [c70]Philipp Klumpp, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, Florian Hönig, Elmar Nöth, Juan Rafael Orozco-Arroyave:
Surgical Mask Detection with Deep Recurrent Phonetic Models. INTERSPEECH 2020: 2057-2061 - [c69]Elif Eyigöz, Mary Pietrowicz, Carla Agurto, Juan Rafael Orozco-Arroyave, Adolfo M. García, Sabine Skodda, Jan Rusz, Elmar Nöth, Guillermo A. Cecchi:
Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. RaPID@LREC 2020 - [c68]Patricia Argüello-Vélez, Tomás Arias-Vergara, María Claudia Gonzalez-Rátiva, Juan Rafael Orozco-Arroyave, Elmar Nöth, Maria Schuster:
Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson's Patients. TDS 2020: 303-311 - [c67]Cristian David Ríos-Urrego, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing. TDS 2020: 331-339 - [c66]Juan Pablo Restrepo-Uribe, Sebastian Roldan-Vasco, Estefania Perez-Giraldo, Juan Rafael Orozco-Arroyave, Andrés Orozco-Duque:
Electrophysiological and Mechanical Approaches to the Swallowing Analysis. WEA 2020: 281-290 - [i5]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Cristian D. Ríos-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. CoRR abs/2002.04374 (2020) - [i4]Cristian D. Ríos-Urrego, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Francisco Lopera, Juan Rafael Orozco-Arroyave:
Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features. CoRR abs/2002.05411 (2020) - [i3]Juan Camilo Vásquez-Correa, Tobias Bocklet, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients. CoRR abs/2002.05412 (2020) - [i2]Luis Felipe Gomez-Gomez, Aythami Morales, Julian Fiérrez, Juan Rafael Orozco-Arroyave:
Exploring Facial Expressions and Affective Domains for Parkinson Detection. CoRR abs/2012.06563 (2020)
2010 – 2019
- 2019
- [j14]Cristian D. Ríos-Urrego, Juan Camilo Vásquez-Correa, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Francisco Lopera, Juan Rafael Orozco-Arroyave:
Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features. Comput. Methods Programs Biomed. 173: 43-52 (2019) - [j13]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Jochen Klucken, Elmar Nöth:
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach. IEEE J. Biomed. Health Informatics 23(4): 1618-1630 (2019) - [c65]H. A. Carvajal-Castaño, Juan Rafael Orozco-Arroyave:
Articulation Analysis in the Speech of Children with Cleft Lip and Palate. CIARP 2019: 575-585 - [c64]Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Sandra Gollwitzer, Juan Rafael Orozco-Arroyave, Maria Schuster, Elmar Nöth:
Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users. CIARP 2019: 679-687 - [c63]Juan Camilo Vásquez-Correa, Cristian D. Ríos-Urrego, Alice Rueda, Juan Rafael Orozco-Arroyave, Sri Krishnan, Elmar Nöth:
Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients. CIARP 2019: 688-696 - [c62]Juan Camilo Vásquez-Correa, Tomás Arias-Vergara, Cristian D. Ríos-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages. CIARP 2019: 697-706 - [c61]Marek Wodzinski, Andrzej Skalski, Daria Hemmerling, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification. EMBC 2019: 717-720 - [c60]Reynel Castrillón, Alejandro Acien, Juan Rafael Orozco-Arroyave, Aythami Morales, Jesús Francisco Vargas-Bonilla, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia, Álvaro Villegas:
Characterization of the Handwriting Skills as a Biomarker for Parkinson's Disease. FG 2019: 1-5 - [c59]Juan Camilo Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech. INTERSPEECH 2019: 549-553 - [c58]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, Juan Rafael Orozco-Arroyave, Björn M. Eskofier, Elmar Nöth:
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease. INTERSPEECH 2019: 964-965 - [c57]Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Ríos-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth:
Feature Representation of Pathophysiology of Parkinsonian Dysarthria. INTERSPEECH 2019: 3048-3052 - [c56]José Vicente Egas López, Juan Rafael Orozco-Arroyave, Gábor Gosztolya:
Assessing Parkinson's Disease from Speech Using Fisher Vectors. INTERSPEECH 2019: 3063-3067 - [c55]Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Milos Cernak, Sandra Gollwitzer, Maria Schuster, Elmar Nöth:
Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users. INTERSPEECH 2019: 3108-3112 - [c54]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Martin Strauss, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Natural Language Analysis to Detect Parkinson's Disease. TSD 2019: 82-90 - [c53]Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Sandra Gollwitzer, Maria Schuster, Elmar Nöth:
Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users. TSD 2019: 299-306 - [i1]Reynel Castrillón, Alejandro Acien, Juan Rafael Orozco-Arroyave, Aythami Morales, Jesús Francisco Vargas-Bonilla, Rubén Vera-Rodríguez, Julian Fiérrez, Javier Ortega-Garcia, Álvaro Villegas:
Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease. CoRR abs/1903.08226 (2019) - 2018
- [j12]Laureano Moro-Velázquez, Jorge Andrés Gómez García, Juan Ignacio Godino-Llorente, Jesús Villalba, Juan Rafael Orozco-Arroyave, Najim Dehak:
Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease. Appl. Soft Comput. 62: 649-666 (2018) - [j11]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, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [j10]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, Tobias Bocklet, Milos Cernak, Julius Hannink, Elmar Nöth:
NeuroSpeech. SoftwareX 8: 69-70 (2018) - [j9]Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions. Speech Commun. 101: 11-25 (2018) - [c52]Elif Eyigöz, Pablo Polosecki, Adolfo M. García, Katharina Rogg, Juan Rafael Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustín Ibáñez, Guillermo A. Cecchi:
Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. AAAI Workshops 2018: 126-131 - [c51]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:
Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation. EMBC 2018: 1404-1407 - [c50]