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2020 – today
- 2022
[j28]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)- [j27]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) - [j26]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) - [j25]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) - [i11]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) - [i10]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) - [i9]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) - 2021
- [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]Tomas 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) - [j19]Juan Camilo Vásquez-Correa, Cristian David Rios-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. Rios-Urrego, D. A. López-Santander, J. D. Gallo-Aristizabal, 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, Tomas 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, Tomas Arias-Vergara, Philipp Klumpp, M. Sierra-Castrillón, M. E. Roldán-López, D. Aguillón, L. 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, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Paula Andrea Pérez-Toro, S. 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, Tomas 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. Rios-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 Vega, 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
- [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: 102018 (2020) - [j17]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) - [j16]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) - [j15]Tomas 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) - [j14]Juan Camilo Vásquez-Correa, Tomas 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, Tomas 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 Rios-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. Rios-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. Rios-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
- [j13]Cristian D. Rios-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) - [j12]Juan Camilo Vásquez-Correa, Tomas 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]Tomas 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. Rios-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, Tomas Arias-Vergara, Cristian D. Rios-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, Tomas Arias-Vergara, Philipp Klumpp, M. Strauss, Arne Küderle, Nils Roth, S. Bayerl, Nicanor García-Ospina, Paula Andrea Pérez-Toro, L. Felipe Parra-Gallego, Cristian David Rios-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 Rios-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]Tomas 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, M. Strauss, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Natural Language Analysis to Detect Parkinson's Disease. TSD 2019: 82-90 - [c53]Tomas 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
- [j11]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) - [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: An open-source software for Parkinson's speech analysis. Digit. Signal Process. 77: 207-221 (2018) - [d1]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]Tomas 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]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Philipp Klumpp, Elmar Nöth:
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices. ICASSP 2018: 6004-6008 - [c49]Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla:
Speaker Verification System for Online Education Platforms. ICCST 2018: 1-5 - [c48]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Elmar Nöth:
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease. INTERSPEECH 2018: 456-460 - [c47]Nicanor García, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Multimodal I-vectors to Detect and Evaluate Parkinson's Disease. INTERSPEECH 2018: 2349-2353 - [c46]Juan Camilo Vásquez-Correa, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth:
Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease. TSD 2018: 453-461 - [c45]Nicanor García-Ospina, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth:
Phonological i-Vectors to Detect Parkinson's Disease. TSD 2018: 462-470 - [c44]L. Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises. WEA (2) 2018: 223-230 - [c43]Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Nicanor García-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth:
A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease. WEA (2) 2018: 268-278 - [e1]Juan Carlos Figueroa-García, Juan G. Villegas, Juan Rafael Orozco-Arroyave, Pablo Andrés Maya Duque:
Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II. Communications in Computer and Information Science 916, Springer 2018, ISBN 978-3-030-00352-4 [contents] - 2017
- [j8]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave:
Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech. Cogn. Comput. 9(6): 731-748 (2017) - [j7]Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz, Heidi Christensen, Juan Camilo Vásquez-Correa, Elmar Nöth:
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features. Comput. Speech Lang. 46: 196-208 (2017) - [j6]Carlos M. Travieso, Jesús B. Alonso, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth, Antonio G. Ravelo-García:
Detection of different voice diseases based on the nonlinear characterization of speech signals. Expert Syst. Appl. 82: 184-195 (2017) - [c42]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, Maria Yancheva, Alyssa Vann, Nikolai Vogler:
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease. ICASSP 2017: 2966-2970 - [c41]Juan Camilo Vásquez-Correa, Joan Serrà, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech. ICASSP 2017: 5065-5069 - [c40]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, Alyssa Vann, Nikolai Vogler:
On the impact of non-modal phonation on phonological features. ICASSP 2017: 5090-5094 - [c39]Nicanor García, Juan Rafael Orozco-Arroyave, Luis Fernando D'Haro, Najim Dehak, Elmar Nöth:
Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors. INTERSPEECH 2017: 299-303 - [c38]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease. INTERSPEECH 2017: 314-318 - [c37]Philipp Klumpp, Thomas Janu, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Apkinson - A Mobile Monitoring Solution for Parkinson's Disease. INTERSPEECH 2017: 1839-1843 - [c36]J. C. Jiménez-Monsalve, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Pedro Gómez Vilda:
Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease. IWINAC (2) 2017: 424-434 - [c35]Nicanor García, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Najim Dehak, Elmar Nöth:
Language Independent Assessment of Motor Impairments of Patients with Parkinson's Disease Using i-Vectors. TSD 2017: 147-155 - [c34]Juan Camilo Vásquez-Correa, Reynel Castrillón, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Speaker Model to Monitor the Neurological State and the Dysarthria Level of Patients with Parkinson's Disease. TSD 2017: 272-280 - [c33]Tomas Arias-Vergara, Philipp Klumpp, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application. TSD 2017: 371-379 - 2016
- [b1]Juan Rafael Orozco-Arroyave:
Analysis of speech of people with Parkinson's disease. University of Erlangen-Nuremberg, Germany, Logos Verlag Berlin GmbH 2016, ISBN 978-3-8325-4361-7, pp. 1-128 - [c32]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Tino Haderlein, Elmar Nöth:
Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech. ITG Symposium on Speech Communication 2016: 1-5 - [c31]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech. ITG Symposium on Speech Communication 2016: 1-5 - [c30]Juan Rafael Orozco-Arroyave, Juan Camilo Vásquez-Correa, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Elmar Nöth:
Towards an automatic monitoring of the neurological state of Parkinson's patients from speech. ICASSP 2016: 6490-6494 - [c29]Daria Hemmerling, Juan Rafael Orozco-Arroyave, Andrzej Skalski, Janusz Gajda, Elmar Nöth:
Automatic Detection of Parkinson's Disease Based on Modulated Vowels. INTERSPEECH 2016: 1190-1194 - [c28]Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Parkinson's Disease Progression Assessment from Speech Using GMM-UBM. INTERSPEECH 2016: 1933-1937 - [c27]Elkyn Alexander Belalcázar-Bolaños, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Tino Haderlein, Elmar Nöth:
Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches. TSD 2016: 400-407 - [c26]Zoltan Galaz, Zdenek Mzourek, Jirí Mekyska, Zdenek Smékal, Tomas Kiska, Irena Rektorová, Juan Rafael Orozco-Arroyave, Khalid Daoudi:
Degree of Parkinson's disease severity estimation based on speech signal processing. TSP 2016: 503-506 - [p1]Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech. Recent Advances in Nonlinear Speech Processing 2016: 199-207 - 2015
- [j5]Juan Rafael Orozco-Arroyave, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words. Expert Syst. J. Knowl. Eng. 32(6): 688-697 (2015) - [j4]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:
Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases. IEEE J. Biomed. Health Informatics 19(6): 1820-1828 (2015) - [c25]Juan Camilo Vásquez-Correa, Nicanor García, Juan Rafael Orozco-Arroyave, Julián David Arias-Londoño, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Emotion recognition from speech under environmental noise conditions using wavelet decomposition. ICCST 2015: 247-252 - [c24]Juan Rafael Orozco-Arroyave, Florian Hönig, Julián D. Arias-Londoño, Jesús Francisco Vargas-Bonilla, Sabine Skodda, Jan Rusz, Elmar Nöth:
Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease. INTERSPEECH 2015: 95-99 - [c23]Juan Rafael Orozco-Arroyave:
The parkinson's condition sub-challenge: the data. INTERSPEECH 2015 - [c22]T. Villa-Cañas, Julián D. Arias-Londoño, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Elmar Nöth:
Low-frequency components analysis in running speech for the automatic detection of parkinson's disease. INTERSPEECH 2015: 100-104 - [c21]Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Jesús Francisco Vargas-Bonilla, Julián D. Arias-Londoño, Elmar Nöth:
Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions. INTERSPEECH 2015: 105-109 - [c20]Björn W. Schuller, Stefan Steidl, Anton Batliner, Simone Hantke, Florian Hönig, Juan Rafael Orozco-Arroyave, Elmar Nöth, Yue Zhang, Felix Weninger:
The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition. INTERSPEECH 2015: 478-482 - [c19]Sebastian Wankerl, Florian Hönig, Anton Batliner, Juan Rafael Orozco-Arroyave, Elmar Nöth:
Visual comparison of speaker groups. INTERSPEECH 2015: 2613-2614 - [c18]Juan Rafael Orozco-Arroyave, Tino Haderlein, Elmar Nöth:
Automatic Detection of Parkinson's Disease in Reverberant Environments. TSD 2015: 80-87 - [c17]