Prof. Juan Rafael Orozco Arroyave


Contact:

Group coordinator
Pattern Analysis and Signal Processing head
Email: rafael.orozco@udea.edu.co
Tel: +57 4 2198523
Office: 18-339B
CvLAC
Google Scholar Profile
website: https://sites.google.com/site/rafaelorozcoarroyave/home

Research Interest:


Speech Processing and Understanding, Digital Signal Processing, Pattern Recognition



Bio

Juan Rafael Orozco-Arroyave received the B.S. degree in Electronics Engineering from Universidad de Antioquia in 2004, later he did a postgraduate in Marketing at EAFIT University. In 2011 I received the M.Sc in Telecommunications from Universidad de Antioquia. In 2015 I received the Ph.D. degree in Electronics Engineering from Universidad de Antioquia (Medellín, Colombia) and in Computer Science from the Friedrich-Alexander-Universität Erlangen-Nürnberg, (Erlangen, Germany). Currently he is Associate Professor at Universidad de Antioquia and Adjunct Researcher at Pattern Recognition Lab in the Friedrich-Alexander-Universität Erlangen-Nürnberg. Google scholar profile: http://scholar.google.de/citations?user=VPG8gMYAAAAJ&hl=en

Publications



Journal papers
  1. JC. Vasquez-Correa, T. Arias-Vergara, M. Schuster, JR. Orozco-Arroyave, and E. Nöth, Parallel Representation Learning for the Classification of Pathological Speech: studies on Parkinson’s Disease and Cleft Lip and Palate, Speech Communication, pp: 1-15, 2020 (in press). URL,
  2. T. Arias-Vergara, P. Arguello-Velez, J. C. Vásquez-Correa, E. Nöth, M. Schuster, M. C. González-Rátiva, J. R. Orozco-Arroyave, Automatic Detection of Voice Onset Time In Voiceless Plosives Using Gated Recurrent Units, Digital Signal Processing, 2020, vol. 104, no. 102779 , p. 1-13. URL, PDF
  3. Biswajit Karan, Sitanshu Sekhar Sahu, JR Orozco-Arroyave, and Kartik Mahto, Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech, Biomedical Signal Processing and Control, 2020, vol. 61, no. 102050 , p. 1-11. URL,
  4. D Escobar-Grisales, JC Vásquez-Correa, JF Vargas-Bonilla, and JR Orozco-Arroyave, Identity Verification in Virtual Education Using Biometric Analysis Based on Keystroke Dynamics, Tecnológicas, 2020, vol. 23, no. 47 , p. 62-73. URL, PDF
  5. J.R. Orozco-Arroyave et al, Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait, and hands movement, Neurodegenerative Disease Management, pp: 1-22, 2020. URL, PDF
  6. F.O. López-Pabón and J.R. Orozco-Arroyave, Cepstral analysis and the Hilbert-Huang Transform for the automatic detection of Parkinson's disease, Tecnologicas, 2020, vol. -23, no. 47 , p. 93-108. URL, PDF
  7. J.S. Guerrero and J.R. Orozco-Arroyave, Word-Embeddings and Grammar Features to Detect Language Disorders in Alzheimer’s Disease Patients, Tecnologicas, 2020, vol. 23, no. 47 , p. 63-75. URL, PDF
  8. PA Pérez-Toro, JC. Vásquez-Correa, T. Arias-Vergara, E. Nöth, and JR. Orozco-Arroyave, Non-linear Dynamics and Poincaré Sections to Model Gait Impairments in Different Stages of Parkinson’s Disease, Nonlinear Dynamics, 2020, vol. 100, no. 4 , p. 3254-3276. URL, PDF
  9. Abdellah Kacha, Francis Grenez, J.R. Orozco-Arroyave, Jean Schoentgen, Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech, Computer speech & language, 2020, vol. 59, no. - , p. 114-122. URL,
  10. Alice Rueda, Juan Camilo Vásquez-Correa, Cristian David Rios-Urrego, J.R. Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth, Feature Representation of Pathophysiology of Parkinsonian Dysarthria, Interspeech, pp: 3048-3052, 2019. URL,
  11. J.C. Vásquez-Correa, T. Arias-Vergara, J.R. Orozco-Arroyave, B. Eskofier, J. Klucken, and E. Nöth, Multimodal assessment of Parkinson’s disease: a deep learning approach, IEEE Journal of Biomedical and Health Informatics, 2019, vol. July, no. 23 , p. 1618-1630. URL,
  12. T Arias Vergara, S Gollwitzer, J.R. Orozco-Arroyave, JC Vasquez-Correa, E Nöth, C Högerle, M Schuster, Speech differences between CI users with pre-and postlingual onset of deafness detected by speech processing methods on voiceless to voice transitions, Laryngo-Rhino-Otologie, 2019, vol. 98, no. - , p. 11435. URL,
  13. JC Vásquez-Correa, T Arias-Vergara, Philipp Klumpp, M Strauss, A Küderle, N Roth, S Bayerl, N García-Ospina, PA Perez-Toro, LF Parra-Gallego, Cristian David Rios-Urrego, D Escobar-Grisales, J.R. Orozco-Arroyave, B Eskofier, Elmar Nöth, Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease, Interspeech, pp: 964-965, 2019. URL,
  14. C.D. Rios-Urrego, J.C. Vásquez-Correa, J.F. Vargas-Bonilla, E. Nöth, F. Lopera, J.R. Orozco-Arroyave, Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features, Computer Methods and Programs in Biomedicine, 2019, vol. 173, no. - , p. 43-52. URL,
  15. JC Vásquez-Correa, Philipp Klumpp, J.R. Orozco-Arroyave, Elmar Nöth, Phonet: a Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech, Interspeech, pp: 549-553, 2019. URL,
  16. Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, J.R. Orozco-Arroyave, Milos Cernak, Elmar Nöth, Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s, Text, Speech, and Dialogue, 2018, vol. 11107, no. - , p. 453. URL,
  17. J.R. Orozco-Arroyave, J.C. Vásquez-Correa, et al.,, NeuroSpeech: an open-source software for Parkinson's speech analysis, Digital Signal Processing, 2018, vol. 77, no. June , p. 207-221. URL,
  18. Marlon E Bedoya-Vargas, Juan C Vásquez-Correa, J.R. Orozco-Arroyave, Time-frequency representations from inertial sensors to characterize the gait in Parkinson’s disease, TecnoLógicas, 2018, vol. 21, no. 43 , p. 53-69. URL,
  19. M.E. Bedoya-Vargas, J.C. Vásquez-Correa, and J.R. Orozco-Arroyave, Representación tiempo-frecuencia en señales de marcha para la detección automática de la enfermedad de Parkinson, Tecnológicas, 2018, vol. 77, no. - , p. 207-221. URL,
  20. T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, and E. Nöth, Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions, Speech Communication, 2018, vol. 101, no. - , p. 11-25. URL,
  21. J.R. Orozco-Arroyave, Juan Camilo Vasquez-Correa, Jesus Francisco Vargas-Bonilla, R Arora, N Dehak, PS Nidadavolu, H Christensen, F Rudzicz, M Yancheva, H Chinaei, A Vann, N Vogler, T Bocklet, M Cernak, J Hannink, Elmar Noeth, NeuroSpeech, SOFTWAREX, 2018, vol. 8, no. - , p. 69-70. URL,
  22. L. Moro-Velázquez, J.A. Gómez-García, J.I. Godino-Llorente, J. Villalba, J.R. Orozco-Arroyave, and N. Dehak, Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's disease, Applied Soft Computing, pp: 649-666, 2018. URL,
  23. JC Vásquez-Correa, J.R. Orozco-Arroyave, T Bocklet, E Nöth, Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease, Journal of communication disorders, 2018, vol. 76, no. - , p. 21-36. URL,
  24. Marlon E Bedoya-Vargas, Juan C Vásquez-Correa, J.R. Orozco-Arroyave, Representaciones tiempo-frecuencia basadas en sensores inerciales para caracterizar la marcha en la enfermedad de Parkinson, TecnoLógicas, 2018, vol. 21, no. 43 , p. 53-69. URL,
  25. C.M. Travieso-González, J.B. Alonso-Hernández, J. R. Orozco-Arroyave, J. F. Vargas-Bonilla, E. Nöth, and A.G. Ravelo-García , Detection of different voice diseases based on the nonlinear characterization of speech signals, Expert Sytems with Application, 2017, vol. 82, no. 1 , p. 184-195. URL,
  26. M. Cernak, J.R. Orozco-Arroyave, F. Rudzicz, H. Chirstensen, J.C. Vásquez-Correa, and E. Nöth, Characterization of voice quality of Parkinson's disease using differential phonological posterior features, Computer Speech & Language, 2017, vol. 46, no. November , p. 96-208. URL,
  27. T. Arias-Vergara, J.C. Vásquez-Correa, and J.R. Orozco-Arroyave, Parkinson's disease and aging: analysis of their effect in phonation and articulation of speech, Cognitive Computation, 2017, vol. 9, no. 6 , p. 731-748. URL,
  28. J.R Orozco Arroyave, Carlos Manuel Travieso Gonzalez, Elmar Noth, Jesus Francisco Vargas Bonilla, Detection of different voice diseases based on the nonlinear characterization of speech signals", Expert Systems with Applications , 2017, vol. 82, no. 1 , p. 184-195. URL,
  29. J. R. Orozco-Arroyave, J. F. Vargas-Bonilla, J. C. Vásquez-Correa, C. G. Castellanos-Domínguez, and E. Nöth, Automatic detection of hypernasal speech of children with cleft lip and palate from spanish vowels and words using classical measures and nonlinear analysis, Revista Facultad de Ingeniería Universidad de Antioquia, pp: 69-82, 2016. URL,
  30. G. J. Zapata-Zapata, J. D. Arias-Londoño, J. F. Vargas-Bonilla, J. R. Orozco-Arroyave, On-line signature verification using Gaussian Mixture Models and small-sample learning strategies, Revista Facultad de Ingeniería Universidad de Antioquia, pp: 87-94, 2016. URL,
  31. A. García, F. Carrillo, J. R. Orozco-Arroyave, et al., How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease, Brain & Language, 2016, vol. 162, no. November , p. 19-28. URL,
  32. J. R. Orozco-Arroyave, J. D. Arias-Londoño, J. F. Vargas-Bonilla, S. Skodda, Jan Rusz, F. Hönig, and E. Nöth, Automatic detection of Parkinson's disease in continuous speech spoken in three different languages, Journal of the Acoustical Society of America - JASA, 2016, vol. 139, no. 1 , p. 481-500. URL,
  33. J.R. Orozco Arroyave, Automatic detection of Parkinson's disease in running speech spoken in three different languages, Journal of the Acoustical Society of America , 2016, vol. 139, no. 1 , p. 481-500. URL,
  34. J.R. Orozco-Arroyave, Juan Manuel Arias Mejía , Elkyn Alexander Belalcázar Bolaños, Julián David Arias Londoño, Jesús Francisco Vargas Bonilla, Evaluación de métodos de Fourier y máxima entropía para la detección automática de la enfermedad de Parkinson", Revista De Investigaciones Universidad Del Quindio , 2015, vol. 27, no. 1 , p. 67-74. URL,
  35. J. R. Orozco-Arroyave, E. A. Belalcázar-Bolaños, J. D. Arias-Londoño, J. F. Vargas-Bonilla, S. Skodda, Jan Rusz, K. Daqrouq, F. Hönig, and E. Nöth, Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases, IEEE Journal of Biomedical Health Informatics, 2015, vol. 19, no. 6 , p. 1820-1828. URL,
  36. J. M. Arias-Mejía, E. A. Belalcázar-Bolaños, J. R. Orozco-Arroyave, J. D. Arias-Londoño, J. F. Vargas-Bonilla, Evaluación de métodos de Fourier y máxima entropía para la detección automática de la enfermedad de Parkinson, Revista Investigación Universidad de Quindío, 2015, vol. 27, no. 1 , p. 67-74. URL,
  37. J. R. Orozco-Arroyave, Florian Hönig, J.D. Arias-Londoño, J.F. Vargas-Bonilla, and Elmar Nöth, Spectral and Cepstral Analyzes for Parkinson's Disease Detection in Spanish Vowels and Words, Expert Systems, 2015, vol. 32, no. 6 , p. 688-697. URL,
  38. P. Henríquez, J.B. Alonso-Hernández, M.A. Ferrer-Ballester, C.M. Travieso-González and J.R. Orozco-Arroyave, Nonlinear Dynamics Characterization of Emotional Speech, Neurocomputing, 2014, vol. 132, no. May , p. 126-135. URL,
  39. J.C. Vásquez-Correa, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, and E. Nöth, New computer aided device for real time analysis of people with Parkinson's disease, Revista Facultad de Ingeniería Universidad de Antioquia, 2014, vol. 72, no. September , p. 87-103. URL,
  40. D.A. Garzón-Ramos, E.A. Belalcázar-Bolaños, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla and C. Vargas-Hernández, Raman spectrum reconstruction by substracting the baseline using Huber and quadratic truncated functions, Revista Colombiana de Física, 2014, vol. 46, no. 1 , p. 1-4. URL,
  41. J.R. Orozco-Arroyave, Elmar Noth, Jesus Francisco Vargas Bonilla, Juan Camilo Vasquez Correa, Julian David Arias Londono, Juan Camilo Vasquez Correa, Diego Campos, New computer aided device for real time analysis of speech of people with Parkinson's disease, Revista Facultad de Ingenieria, 2014, vol. 72, no. 1 , p. 87-103. URL,
  42. J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño, S. Murillo-Rendón, G. Castellanos-Domínguez and J.F. Garcés, Nonlinear dynamics for hypernasality detection in Spanish vowels and words, Cognitive Computation, 2013, vol. 5, no. 4 , p. 448-457. URL,
  43. Gabriel Darío Villareal Revelo, J.R. Orozco Arroyave, Diana Patricia Tobón Vallejo and Natalia Gaviria Gómez,, Descripción y análisis de desempeño de sistemas de radio sobre fibra con enlaces de 900MHz con modulaciones en fase y en cuadratura, Revista Politécnica, 2013, vol. 9, no. 16 , p. 51-62. URL,
  44. J.R. Orozco-Arroyave, Diego Campos, Jesus Francisco Vargas Bonilla, Julian David Arias Londono, Cesar German Castellanos Domiguez, Maximiliano Vargas, New cues in low-frequency of speech for Automatic Detection of Parkinson's Disease, Lecture Notes in Computer Science , 2013, vol. 7930, no. 1 , p. 283-292. URL,
  45. J.R. Orozco Arroyave, Natalia Gaviria Gomez, Diana Patricia Tobon Vallejo, Gabriel Villareal Raelo, Descripción y análisis de desempeño de sistemas de radio sobre fibra con enlaces de 900Mhz con modulaciones de fase y en cuadratura, Revista Politecnica , 2013, vol. 9, no. 16 , p. 51-69. URL,
  46. Patricia Henríquez Rodríguez, Jesús B. Alonso Hernández, Miguel A. Ferrer Ballester, Carlos M. Travieso González and J.R. Orozco-Arroyave, Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech, Cognitive Computation, 2013, vol. 5, no. 4 , p. 517-525. URL,
  47. J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, E. Delgado-Trejos, Acoustic Analysis and Non Linear Dynamics Applied to Voice Pathology Detection: A Review, Recent Patents on Signal Processing, 2012, vol. 2, no. 2 , p. 96-107. URL,
  48. J.R. Orozco, J.A. Uribe, J.F. Vargas, Operador de energía de Teager para la detección de hipernasalidad en niños con labio y paladar hendido, Tecnológicas, 2011, vol. 26, no. - , p. 27-45. URL,

Book chapters & Lecture Notes
  1. J.R. Orozco-Arroyave, J.C. Vásquez-Correa, E. Nöth, Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson’s disease, Chapter 8, In: Neurological Disorders and Imaging Physics, Volume 5, Applications in dyslexia, epilepsy and Parkinson’s. Eds. Ayman El-Baz and Jasjit S Suri, IOP Publishing, pp: 1-58, 2020. URL,
  2. J.R. Orozco Arroyave, Luis Felipe Parra Gallego, Tomas Arias Vergara, Juan Camilo Vasquez Correa, Nicanor Garcia Ospina, Elmar Noth, Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinso's Disease, Communications in Computer and Information Science, pp: 223-230, 2018. URL,
  3. J.R. Orozco Arroyave, Paula Andrea Perez Toro, Juan Camilo Vasquez Correa, Tomas Arias Vergara, Nicanor Garcia Ospina, Elmar Noth, A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease, Communications in COmputer and Information Science , pp: 268-278, 2018. URL,
  4. L.F. Parra-Gallego, T. Arias-Vergara, J.C. Vásquez-Correa, N. García-Ospina, J.R. Orozco-Arroyave, and E. Nöth, Automatic intelligibility assessment of Parkinson's disease with diadochokinetic exercises, Communication in Computers and Information Science, 2018, vol. 916, no. - , p. 223-230. URL,
  5. N. García-Ospina, T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, Milos Cernak, and E. Nöth, Phonological i-Vectors to Detect Parkinson’s Disease, Lecture Notes in Computer Science, 2018, vol. 11107, no. - , p. 462-470. URL,
  6. J.C. Vásquez-Correa, N. García-Ospina, J.R. Orozco-Arroyave, Milos Cernak, and E. Nöth, Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease, Lecture Notes in Computer Science, 2018, vol. 11107, no. - , p. 453-461. URL,
  7. N. García, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, N. Dehak, and E. Nöth, Language independent assessment of motor impairments of Patients with Parkinson's disease using i-vectors, Lecture Notes in Computer Science, 2017, vol. 10415, no. - , p. 147-155. URL,
  8. T. Arias-Vergara, P. Klummp, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, and E. Nöth, Parkinson's disease progression assessment from speech using a mobile device -based application, Lecture Notes in Computer Science, 2017, vol. 10415, no. - , p. 371-379. URL,
  9. J.C. Vásquez-Corre, R. Castrillón, T. Arias-Vergara, J.R. Orozco-Arroyave, and E. Nöth, Speaker model to monitor the neurological state and the dysarthria level of patients with Parkinson's disease, Lecture Notes in Computer Science, 2017, vol. 10415, no. - , p. 272-280. URL,
  10. J.C. Jiménez-Monsalve, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, P. Gómez-Vilda, Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2017, vol. 10338, no. - , p. 424-434. URL,
  11. J. C. Vásquez-Correa, T. Arias-Vergara, J. R. Orozco-Arroyave, J. F. Vargas-Bonilla, and E. Nöth, Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech, Speech Communication/ITG-Fachtagung Sprachkommunikation, pp: 235-239, 2016. URL,
  12. E. A. Belalcázar, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, and Elmar Nöth, Non-linear Dynamics characterization from wavelet packet transform for automatic recognition of emotional speech, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2016, vol. 9924, no. - , p. 400-407. URL,
  13. T. Arias-Vergara, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, J. F. Vargas-Bonilla, T. Haderlein, and E. Nöth, Gender-dependent GMM-UBM for tracking Parkinson's disease progression from Speech, Speech Communication/ITG-Fachtagung Sprachkommunikation, pp: 259-263, 2016. URL,
  14. J.R. Orozco-Arroyave, Tino Haderlein, and Elmar Nöth, Automatic Detection of Parkinson’s Disease in Reverberant Environments, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2015, vol. 9302, no. - , p. 80-87. URL,
  15. J.C. Vásquez-Correa, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, L.D. Avendaño and Elmar Nöth, , Time Dependent ARMA for Automatic Recognition of Fear-type Emotions in Speech, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2015, vol. 9302, no. - , p. 96-104. URL,
  16. J.R. Orozco-Arroyave, Nicanor García, Jesús Francisco Vargas-Bonilla, and Elmar Nöth, Automatic detection of Parkinson’s disease from compressed speech recordings, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2015, vol. 9302, no. - , p. 88-95. URL,
  17. E. Belalcazar-Bolaños, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, T. Haderline, and Elmar Nöth, Glottal Flow Patterns Analyses for Parkinson’s Disease Detection: Acoustic and Nonlinear Approaches, , pp: , 2015. URL,
  18. J.R. Orozco-Arroyave, Elkyn Alexander Belalcázar-Bolaños, Julián David Arias-Londoño, Jesús Francisco Vargas-Bonilla, Tino Haderlein, and Elmar Nöth, Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson’s Disease, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2014, vol. 8865, no. - , p. 296-389. URL,
  19. J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla and Elmar Nöth, Perceptual analysis of speech signals from people with Parkinson's disease, Lecture Notes in Computer Science, Springer-Verlag, 2013, vol. 7930, no. - , p. 201-211. URL,
  20. J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla and Elmar Nöth, Analysis of Speech from People with Parkinson's Disease through Nonlinear Dynamics, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2013, vol. 7911, no. - , p. 112-119. URL,
  21. Carlos M. Travieso, Jesús B. Alonso, J.R. Orozco-Arroyave, Jordi Solé-Casals and Esteve Gallego-Jutglà, Automatic Detection of Laryngeal Pathologies in Running Speech Based on the HMM Transformation of the Nonlinear Dynamics, Lecture Notes in Artificial Intelligence, Springer-Verlag, 2013, vol. 7911, no. - , p. 136-143. URL,
  22. E.A. Belalcazar-Bolaños, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño, C.G. Castellanos-Domínguez and Elmar Nöth, New cues in low-frequency of speech for Parkinson's disease detection, Lecture Notes in Computer Science, Springer-Verlag, 2013, vol. 7930, no. - , p. 283-292. URL,
  23. S. Murillo-Rendón, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas, G. Castellanos, Automatic Detection of Hypernasality in Children, New Challenges on Bioinspired Applications - 6687, Springer Berlin/Heidelberg, 6687, ISSN 0302-9743, pp: 167-174, 2011. URL,
  24. J.R. Orozco-Arroyave, S. Murillo-Rendón, J.F. Vargas-Bonilla, E. Delgado-Trejos, J.D. Arias- Londoño y G. Castellanos-Domínguez, Nonlinear Dynamics for Hypernasality Detection, Lecture Notes in Artificial Intelligence - 7015, Springer-Verlag, 2011, vol. 7015, no. - , p. 207-214. URL,
  25. Patricia Henríquez, Jesús B. Alonso, Miguel A. Ferrer, Carlos M. Travieso and J.R. Orozco- Arroyave, Application of Nonlinear Dynamics Characterization to Emotional Speech, Lecture Notes in Artificial Intelligence - 7015, Springer-Verlag, 2011, vol. 7015, no. - , p. 127-136. URL,

Conference prceedings
  1. J.C. Vásquez-Correa. P. Klumpp, J.R. Orozco-Arroyave, and E. Nöth, Phonet: a Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech, INTERSPEECH, pp: 549-553, 2019. URL, PDF
  2. Jhon F Moofarry, Milton Sarria-Paja, J.R. Orozco-Arroyave, Parkinson’s disease detection using modulation components in speech signals, XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA), pp: 1-4, 2019. URL,
  3. R. Castrillon, A. Acien, J.R. Orozco-Arroyave, A. Morales, J.F. Vargas-Bonilla, R. Vera-Rodriguez, J. Fierrez, J. Ortega-Garcia, A. Villegas, Characterization of the Handwriting Skills as a Biomarker for Parkinson's Disease, IEEE Face and Gesture, pp: 1-5, 2019. URL,
  4. T Arias-Vergara, J.R. Orozco-Arroyave, S Gollwitzer, M Schuster, E Nöth, Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users, International Conference on Text, Speech, and Dialogue, pp: 299-306, 2019. URL,
  5. PA Pérez-Toro, JC Vásquez-Correa, M Strauss, J.R. Orozco-Arroyave, E Nöth, Natural Language Analysis to Detect Parkinson’s Disease, International Conference on Text, Speech, and Dialogue, pp: 82-90, 2019. URL,
  6. Marek Wodzinski, Andrzej Skalski, Daria Hemmerling, J.R. Orozco-Arroyave, Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification, IEEE EMBC, pp: 1-5, 2019. URL,
  7. José Vicente Egas López, J.R. Orozco-Arroyave, Gábor Gosztolya, Assessing Parkinson’s Disease from Speech Using Fisher Vectors, Interspeech, pp: 3063-3067, 2019. URL,
  8. Nicanor García-Ospina, J.R. Orozco-Arroyave, Jesús-Francisco Várgas-Bonilla, Speaker Verification System for Online Education Platforms, nternational Carnahan Conference on Security Technology (ICCST), pp: 1-5, 2018. URL,
  9. Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, J.R. Orozco-Arroyave, Milos Cernak, Elmar Nöth, Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s Disease, International Conference on Text, Speech, and Dialogue, pp: 453-461, 2018. URL,
  10. Elif Eyigoz, Pablo Polosecki, Adolfo M. Garcia, Katharina Rogg, Juan Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustin Ibanez, Guillermo Cecchi, Unsupervised Morphological Segmentation for Detecting Parkinson's Disease, 32nd AAAI Conference on Artificial Intelligence, pp: 126-131, 2018. URL,
  11. J. C. Vasquez Correa, T. Arias Vergara, J. R. Orozco Arroyave, E. Noth , A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease, INTERSPEECH , pp: , 2018. URL,
  12. T. Arias-Vergara, J.C. Vásquez-Correa, F. Klummp, J.R. Orozco-Arroyave, Unobtrusive monitoring of speech impairments of Parkinson's disease patients through mobile devices, IEEE ICASSP, Calgary, Canada, pp: , 2018. URL,
  13. Elif Eyigoz, Pablo Polosecki, Adolfo M Garcia, Katharina Rogg, J.R. Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustin Ibanez, Guillermo Cecchi, Unsupervised Morphological Segmentation for Detecting Parkinson’s Disease, Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, pp: , 2018. URL,
  14. Laureano Moro-Velazquez, JA Gomez-Garcia, Juan Ignacio Godino-Llorente, Jan Rusz, Sabine Skodda, Francisco Grandas, José-Miguel Velazquez, J.R. Orozco-Arroyave, E Noth, Najim Dehak, Study of the automatic detection of Parkison’s Disease based on speaker recognition technologies and allophonic distillation, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp: 1404-1407, 2018. URL,
  15. N. García, J. C. Vásquez Correa, J. F. Várgas Bonilla, J. D. Arias Londoño, J. R. Orozco Arroyave, E. Noth, Multimodal i-vectors to Detect and Evaluate Parkinson's Disease, INTERSPEECH , pp: , 2018. URL,
  16. J.C. Vásquez-Correa, J. R. Orozco-Arroyave, and E. Nöth, Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson’s Disease, Proceedings of the 18th INTERSPEECH, Stockholm-Sweeden, pp: 314-318, 2017. URL,
  17. N. García, J. R. Orozco-Arroyave, L.F. D'Haro, N. Dehak, and E. Nöth, Evaluation of the neurological state of people with Parkinson's disease using i-vectors, Proceedings of the 18th INTERSPEECH, Stockholm-Sweeden, pp: 299-303, 2017. URL,
  18. J.C. Vasquez-Correa, J.R. Orozco-Arroyave, et al., Multi-view representation learning via GCCA for multimodal analysis of Parkinson's disease, Proceedings of the IEEE ICASSP, New Orleans-USA, pp: 2966-2970, 2017. URL,
  19. J.C. Vasquez-Correa, J. Serrà, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech, Proceedings of the IEEE ICASSP, New Orleans-USA, pp: 5065-5069, 2017. URL,
  20. M. Cernak, E. Nöth, J.R. Orozco-Arroyave, et al., On the impact of non-modal phonation on phonological features, Proceedings of the IEEE ICASSP, New Orleans, USA, pp: 5090-5094, 2017. URL,
  21. P. Klummp, T. Janu, T. Arias-Vergara, J.C. Vásquez-Correa, J. R. Orozco-Arroyave, and E. Nöth, Apkinson – A mobile monitoring solution for Parkinson’s disease, roceedings of the 18th INTERSPEECH, Stockholm-Sweeden, pp: 1839-1843, 2017. URL,
  22. J.R. Orozco Arroyave, Dysarthric speech analysis by means of the principal components of the spectrogram , Models and analysis of vocal emissions for biomedical applications , pp: , 2017. URL,
  23. D. Hemmerling, J. R. Orozco-Arroyave, A. Skalski, J. Gajda, E. Nöth, Automatic detection of Parkinson’s disease based on modulated vowels, Proceedings of the 17th INTERSPEECH, San Francisco, USA, pp: 1190-1194, 2016. URL,
  24. J.C. Vásquez-Correa, F. Hönig, J.D. Arias-Londoño, J.F. Vargas-Bonilla, S. Skdda, J. Rusz, and E. Nöth, Towards an automatic monitoring of the neurological state of Parkinson's patients from speech, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp: 6490-6494, 2016. URL,
  25. Z. Galaz, Z. Mzourek, J. Mekyska, Z. Smekal, T. Kiska, I. Rektorova, J.R. Orozco-Arroyave, K. Daoudi, Degree of Parkinson's Disease Severity Estimation Based on Speech Signal Processing, IEEE 39th International Conference on Telecommunications and Signal Processing, Vienna - Austria, pp: 1-5, 2016. URL,
  26. T. Arias-Vergara, J. C. Vasquez-Correa, J. R. Orozco-Arroyave, J. F. Vargas-Bonilla, E. Nöth, Parkinson's disease progression assessment from speech using GMM-UBM, Proceedings of the 17th INTERSPEECH, San Francisco, USA, pp: 1933-1937, 2016. URL,
  27. J.R. Orozco-Arroyave, F. Hönig, J.D. Arias-Londoño, J.F. Vargas-Bonilla, S. Skodda, J. Rusz, and E. Nöth, Voiced/unvoiced transitions in speech as a potential bio-marker to detect Parkinson's disease, Proceedings of 16th INTERSPEECH, Dresden, Germany, pp: 95-99, 2015. URL,
  28. N. García, J. C. Vásquez Correa, J. F. Várgas Bonilla, J. D. Arias Londoño, J. R. Orozco Arroyave, Automatic Recognition of Emotions in Speech Compressed with Telephony Codecs Using Acoustic and Non-Linear Features, XX Symposium on Image, Signal Processing and Artificial vision, pp: , 2015. URL,
  29. T. Villa Cañas, J.D. Arias Londoño, J.F. Vargas Bonilla, J.R. Orozco Arroyave, Time-frequency approach in continuous speech for detection of Parkinson's disease, XX Symposium on Image, Signal Processing and Artificial vision, pp: , 2015. URL,
  30. E.A. Belalcazar Bolaños, J.D. Arias Londoño, J.F. Vargas Bonilla, J.R. Orozco Arroyave, Nonlinear glottal flow features in Parkinson's disease detection , XX Symposium on Image, Signal Processing and Artificial, pp: , 2015. URL,
  31. B. Schuller, S. Steidl, A. Batliner, S. Hantke, F. Hönig, J.R. Orozco-Arroyave, E. Nöth, Y. Zhang, and F. Weninger, The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson’s & Eating Condition, Proceedings of the 16th INTERSPEECH, Dresden, Germany, pp: 478-482, 2015. URL,
  32. S. Wankerl, F. Hönig, A. Batliner, J.R. Orozco-Arroyave, and E. Nöth, Visual comparison of speaker groups - VICOS, Proceedings of the 16th INTERSPEECH, Dresden, Germany, pp: 2613-2614, 2015. URL,
  33. T. Villa-Cañas, J.D. Arias-Londoño, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, and E. Nöth, Low-frequency components analysis in running speech for the automatic detection of Parkinson's disease, Proceedings of 16th INTERSPEECH, Dresden, Germany, pp: 100-104, 2015. URL,
  34. J.C. Vásquez-Correa, T. Arias-Vergara, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.D. Arias-Londoño, and E. Nöth, Automatic detection of Parkinson's disease from continuous speech recorded in non-controlled noise conditions, Proceedings of 16th INTERSPEECH, Dresden, Germany,, pp: 105-109, 2015. URL,
  35. J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla, M.C. Gonzalez-Rátiva, Elmar Nöth, New Spanish speech corpus database for the analysis of people suffering from Parkinson’s disease, Proceedings of the 9th Language Resources and Evaluation Conference - LREC, pp. 342-347, Reykjavik (Iceland), Ed. European Language Resources Association (ELRA), pp: , 2014. URL,
  36. J.R. Orozco-Arroyave, Multilingua System for the Automatic Detection of Parkinson’s Disease”, Doctoral Workshop on Speech Technology, Google, London, UK, pp: , 2014. URL,
  37. T. Villa Cañas, J. R. Orozco Arroyave, J. F. Vargas Bonilla, J. D. Arias Londoño, Modulation spectra for automatic detection of Parkinson's disease, XIX Symposium on Image, Signal Processing and Artificial Vision, pp: , 2014. URL,
  38. Korbinian Riedhammer, Tobias Bocklet, J.R. Orozco-Arroyave, and Elmar Nöth, Semi-Automatic Calibration for Dereverberation by Spectral Subtraction for Continuous Speech Recognition, Proceedings of the 11th ITG Conference on Speech Communication, Erlangen, Germany, pp: , 2014. URL,
  39. N. García, J. C. Vásquez Correa, J. F. Várgas Bonilla, J. D. Arias Londoño, J. R. Orozco Arroyave, Evaluation of the effects of speech enhancement algorithms on the detection of fundamental frequency of speech, XIX Symposium on Image, Signal Processing and Artificial Vision , pp: , 2014. URL,
  40. J.R. Orozco Arroyave, emi-Automatic Calibration for Dereverberation by Spectral Subtraction for Continuous Speech Recognition, Proceedings Of Speech Communication; 11. Itg Symposium, pp: 1-4, 2014. URL,
  41. J.R. Orozco-Arroyave, Florian Hönig, J.D. Arias-Londoño, J.F. Vargas-Bonilla, Sabine Skodda, Jan Rusz, and Elmar Nöth, Automatic Detection of Parkinson's Disease from Words Uttered in Three Different Languages, Proceedings of the 15th Annual Conference of the International Speech Communication Association (INTERSPEECH), Singapore , pp: 1573-1577, 2014. URL,
  42. J.C. Vasquez-Correa, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla and E. Nöth, Design and implementation of an embedded system for real time analysis of speech from people with Parkinson's disease, XVIII Symposium of Image, Signal Processing and Artificial Vision (STSIVA), DOI: 10.1109/STSIVA.2013.6644913, pp: 1-5, 2013. URL,
  43. E.A. Belalcázar-Bolaños, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla and E. Nöth, Automatic detection of Parkinson’s disease using noise measures of speech, XVIII Symposium of Image, Signal Processing and Artificial Vision (STSIVA), DOI: 10.1109/STSIVA.2013.6644928, pp: 1-5, 2013. URL,
  44. T. Villa-Cañas, J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla and J.I. Godino-Llorente, Automatic assessment of voice signals according to the GRBAS scale using modulation spectra, mel frequency cepstral coefficients and noise parameters, XVIII Symposium of Image, Signal Processing and Artificial Vision (STSIVA), DOI: 0.1109/STSIVA.2013.6644930, pp: 1-5, 2013. URL,
  45. J.R. Orozco Arroyave, Análisis de predicción lineal basado en la norma G.729 de la UIT-T para compresión de señales de audio, Simposio de tratamiento de senales imagenes y vision artificial, pp: , 2013. URL,
  46. S. Bedoya Jaramillo, J.R. Orozco Arroyave, J.D. Arias Londoño, J.F. Vargas Bonilla, Emotion recognition from telephony speech using acoustic and nonlinear features , 47th IEEE International Carnahan Conference on Security Technologies , pp: , 2013. URL,
  47. Jesus Francisco Vargas Bonilla, Julian David Arias Londoño, J.R. Orozco Arroyave, , Automatic Emotion Detection in Speech Using Mel frequency Cesptral Coefficients, XVII Symposium of Image, Signal Processing, and Artificial Vision , pp: , 2012. URL,
  48. J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, J.B. Alonso-Hernández, M.A. Ferrer-Ballester, C.M. Travieso-González and P. Henríquez, Voice pathology detection in coninuous speech using nonlinear dynamics, 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA), ISBN 978-1-4673-0381-1, Montreal - Canada, pp: 1061-1064, 2012. URL,
  49. J.R. Orozco-Arroyave, J.D. Arias-Londoño, J.F. Vargas-Bonilla and Elmar Nöth, Automatic detection of hypernasal speech signals using nonlinear and entropy measurements, Proceedings of the 13th Annual Conference of the International Speech Communication Association (INTERSPEECH 2012), Portland-USA, pp: , 2012. URL,
  50. E.A. Belalcázar-Bolaños, T. Villa-Cañas, S. Bedoya-Jaramillo, J.R. Orozco-Arroyave y J.F. Vargas- Bonilla, Detección automática de hipernasalidad mediante análisis espectral-cepstral, Memorias del VI Seminario Internacional de Ingeniería Biomédica (SIB), pp: 117, 2012. URL,
  51. S.Bedoya-Jaramillo, E.Belalcazar-Bolaños, T.Villa-Cañas, J.R. Orozco-Arroyave, J.D. Arias- Londoño, J.F.Vargas-Bonilla, Automatic Emotion Detection in Speech Using Mel frequency Cepstral Coefficients, Proceedings of the XVII Simposium of Image, Signal Processing and Artificial Vision (STSIVA), ISBN: 978-1-4673-2759-6, DOI: 10.1109/STSIVA.2012.6340558, pp: 62-65, 2012. URL,
  52. T. Villa-Cañas, E. Belalcazar-Bolaños, S. Bedoya-Jaramillo, J.F. Garcés, J.R. Orozco-Arroyave, J.D Arias-Londoño and J.F. Vargas-Bonilla, Automatic detection of Laryngeal Pathologies using Cepstral analysis in Mel and Bark Scales, Proceedings of the XVII Simposium of Image, Signal Processing and Artificial Vision (STSIVA), ISBN: 978-1-4673-2759-6, DOI: 10.1109/STSIVA.2012.6340567, pp: 116-121, 2012. URL,
  53. E. Belalcazar-Bolaños, T. Villa-Cañas, S. Bedoya-Jaramillo, J. F. Garcés-Rodríguez, J. R. Orozco- Arroyave, J.D. Arias-Londoño and J. F. Vargas-Bonilla, Feature selection for hypernasality detection using PCA, LDA, Kernel PCA and Greedy Kernel PCA, Proceedings of the XVII Simposium of Image, Signal Processing and Artificial Vision (STSIVA) , ISBN: 978-1-4673-2759-6, DOI: 10.1109/STSIVA.2012.6340591, pp: 246-251, 2012. URL,
  54. E. Belancázar, T. Villa, S. Bedoya, J.F. Garcés, J.R. Orozco-Arroyave y J.F. Vargas-Bonilla, Detección de hipernasalidad implementando coeficientes de predicción lineal y coeficientes cepstrales en la escala de Mel, 1er Seminario Taller Latinoamericano de Instrumentación, Control y Telecomunicaciones (SICOTEL), ISBN 978-958-46-0496-5, Armenia - Colombia, pp: , 2012. URL,
  55. J.R. Orozco-Arroyave, S. Murillo-Rendón, J.F. Vargas-Bonilla y C.G. Castellanos-Domínguez, Detección automática de hipernasalidad en palabras usando características de dináminca no lineal, Memorias del XVI Simposio de Tratamiento de Señales, Imágenes y Visión Artificial (STSIVA), ISBN: 978-958-8347-55-4, Cali - Colombia, pp: , 2011. URL,
  56. E. Belalcazar, H.F. Serna-Gómez, J.F. Garcés, J.R. Orozco-Arroyave y J.F. Vargas-Bonilla, Detección de hipernasalidad en el español usando funciones de retraso de grupo, Memorias del XVI Simposio de Tratamiento de Señales, Imágenes y Visión Artificial (STSIVA), ISBN: 978-958-8347-55-4. Cali-Colombia, pp: , 2011. URL,
  57. J.R. Orozco-Arroyave, S. Murillo-Rendón, A.M. Álvarez-Mesa, J.D. Arias-Londoño, E. Delgado- Trejos, J.F. Vargas-Bonilla and C.G. Castellanos-Domínguez, Automatic Selection of Acoustic and Non-linear Dynamic Features in Voice Signals for Hypernasality Detection, Proceedings of the 12th Annual Conference of the International Speech Communication Association (INTERSPEECH 2011), ISSN: 1990-9772, pp. 529-532, Florence-Italy, pp: , 2011. URL,
  58. S. Murillo-Rendón, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, G. Castellanos-Domínguez, Estudio comparativo entre caracterización dinámica y estática en detección automática de hipernasalidad, VII Seminario Internacional de Procesamiento y Análisis de Imágenes Médicas (SIPAIM), pp: , 2011. URL,
  59. J.R. Orozco Arroyave, S. Murillo Rendón, J. F. Vargas Bonilla y J.D. Arias, Detección automática de patologías relacionadas con la voz usando características acústicas y de ruido , Simposio de tratamiento de senales imagenes y vision artificial, pp: , 2011. URL,
  60. J.R. Orozco-Arroyave, J.A. Uribe, J.F. Vargas-Bonilla, Aumento en la capacidad discrimínate del operador de energía de Teager (TEO) para la detección de hipernasalidad, XV Simposio de Tratamiento de Señales, Imágenes y Visión Artificial – STSIVA, Bogotá, Colombia, pp: , 2010. URL,
  61. J.R. Orozco-Arroyave, S. Murillo-Rendón, J.F. Vargas-Bonilla, G. Castellanos-Domínguez, Reducción de dimensionalidad mediante análisis de componentes principales en la detección de hipernasalidad, Actas del XXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB). ISBN: 978-84-8058-1, Madrid, España, pp: , 2010. URL,
  62. J.R. Orozco Arroyave, Jesus Francisco Vargas Bonilla, Alexander Uribe, Aumento en la capacidad discriminante del operador de energía de teager (teo) para la detección de hipernasalidad , XV Symposium of Image, Signal Processing, and Artificial Vision, pp: , 2010. URL,

Books

  1. J.R. Orozco-Arroyave, Analysis of Speech of People with Parkinson's Disease, Studien zur Mustererkennung, Ed. Logos Verlag Berlin, Germany, ISSN 978-3-8325-4361-7., pp: , 2016. URL,
  2. J.R. Orozco-Arroyave, Analysis of Speech of People with Parkinson's Disease, Studien zur Mustererkennung, Ed. Logos Verlag Berlin, Germany, 2016, ISSN 978-3-8325-4361-7, 2016, vol. 41, no. - , p. 1-128. URL, PDF
  3. J.R. Orozco-Arroyave, Guías de estudio Procesamiento digital de señales - PDS - Programa de educación virtual Ude@, ISBN 978-958-8748-76-4, pp: , 2013. URL,
  4. J.R. Orozco-Arroyave, Procesamiento Digital De Señales: Guías De Estudio, , pp: , 2012. URL,

Other publications