Publications
Journal Papers
2024
E. Baykara, F. Dörr, J. Rusz, J.R. Orozco-Arroyave, and J. Tröger, "Speech biomarkers for dysarthria in Parkinson's disease - Clinical validation across Spanish and Czech languages". Parkinsonism and Related Disorders, 122, 106726, 2024.
D. Rajk, G. Jyothish, E.A. Gopalakrishnan, V. Sommya, and J.R. Orozco-Arroyave, "A Visibility Graph Approach for Multi-stage Classification of Parkinson’s Disease Using
Multimodal Data". IEEE Access, (early print) 2024. DOI 10.1109/ACCESS.2023.0322000
C. D. Rios-Urrego, J. C. Vásquez-Correa, J. Rusz, E. Nöth, and J. R. Orozco-Arroyave, "Automatic speech-based assessment to discriminate Parkinson’s disease from essential tremor with a cross-language approach" NPJ Digital Medicine. Vol. 37, No 7. pp. 1-11. 2024.
D. Kovac, Jiri Mekyska, Vered Aharonson, Pavol Harar, Zoltan Galaz, Steven Rapcsak, J.R. Orozco-Arroyave, Lubos Brabenec, and Irena Rektorova, "Exploring Digital Speech Biomarkers of Hypokinetic Dysarthria in a Multilingual Cohort", Biomedical Signal Processing and Control, Vol, 88, Part B, 105667, 2024.
G. Figueiredo-Miller, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, and E. Nöth, "Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions", Computer, Speech & Language, Vol. 85, No. 101584, pp. 1-8, 2024.
I.K. Veetil, V. Sommia , J.R. Orozco-Arroyave, and E.A. Gopalakrishnan, "Robust Language Independent Voice Data Driven Parkinson’s Disease Detection", Engineering Applications of Artificial Intelligence, Vol. 129, No. 107494, pp. 1-13, 2024.
L.F. Parra-Gallego, T. Arias-Vergara, and J.R. Orozco-Arroyave, "Multimodal evaluation of customer satisfaction from voicemails using speech and language representations", Digital Signal Processing (under review).
A. Rueda, J.R. Orozco-Arroyave, J.C. Vásquez-Correa, E. Nöth, and S. Krishnan, "Trends in signal feature analysis for dysarthria speech in Parkinson’s disease", (under review).
P. Argüello-Vélez, T. Arias-Vergara, M. C. González-Rátiva, J. Rusz, E. Nöth, J. R. Orozco-Arroyave, "Multilingual acoustic-phonetic analysis of Voice onset Time (VOT) in people with Parkinson’s disease" (under review).
J. Tröger, F. Dörr, L. Schwed, N. Linz, A. König, T. Thies, J.R. Orozco-Arroyave, and J. Rusz, "An Automatic Measure for Speech Intelligibility in Dysarthrias — Validation across Multiple Languages and Neurological Disorders". Frontiers in Digital Health, 2024 (In press).
S. Sekar-Nayak, A.D. Darji, P.K. Shah, and J.R. Orozco-Arroyave "Automatic detection of Parkinson’s disease from speech signals using the Fourier-Bessel domain adaptive wavelet transform" (under review).
I. Veetil, V. Sowmya, J.R. Orozco-Arroyave, and E.A. Gopalakrishnan, "Voice Spectrograms : A study on classification of Parkinson’s Disease with Italian and Spanish native speakers" (under review)
P.A. Pérez-Toro, F. Ferrante, G. Pérez, B.L. Tee, J. de León, D. Rodríguez-Salas, E. Nöth, M. Schuster, A. Maier, A. Slachevsky, M.L. Gomo-Tempini, A. Ibañez, J.R. Orozco-Arroyave, and A.M. García, "Automated speech markers of Alzheimer’s dementia: A test of cross-linguistic generalizability" (under review).
S. Roldán-Vasco, A. Orozco-Duque, and J.R. Orozco-Arroyave, "Dysphagia screening with sEMG, accelerometry and speech: multimodal machine and deep learning approaches", (under review).
2023
Maryluz Camargo-Mendoza, Elmar Nöth, Jiri Mekyska, Milena Kostalova, Irena Rektorova and Juan Rafael Orozco-Arroyave, "Oral-diadochokinesis rates for Spanish, German and Czech: norms for adults" Revista de Investigación en Logopedia, Vol. 13, No 2, e85834, 2023..
J.C. Vásquez-Correa, J.S. Martínez-Osorio, J.F. Botero-Vega, and J.R. Orozco-Arroyave, "Unsupervised Anomaly Detection in Energy Consumption of Smart Meters using Sequential Autoencoders and Recurrent Neural Networks", 2023 (under review).
D. Escobar-Grisales, C.D. Ríos-Urrego, and J.R. Orozco-Arroyave, "Deep Learning and Artificial Intelligence Applied to Model Speech and Language in Parkinson's Disease", Diagnostics, Vol. 13, No 13, pp. 1-16, 2023. .DOI: .3390/diagnostics13132163
S. Roldan-Vasco; A. Orozco-Duque, J.R. Orozco-Arroyave, "Dysphagia analysis using surface EMG biomarkers and classification models", Dysphagia, Vol 123, March, 2023. https://doi.org/10.1016/j.dsp.2022.103815
S. Roldán-Vasco, J.P. RestrepO-Uribe, A. Orozco-Duque, J.C. Suarez-Escudero, J.R. Orozco-Arroyave, "Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals", Biomedical Signal Processing and Control, Vol. 82, No. 104533, 2023.
J. Hoffmann, S. Roldán-Vasco, K. Krüger, F. Niekiel, C. Hansen, W. Maetzler, J.R. Orozco-Arroyave, and G. Schmidt, "Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators", Sensors, Vol. 23, No. 3594, pp. 1-19, 2023.
D. Escobar-Grisales, J.C. Vásquez-Correa, and J.R. Orozco-Arroyave, "Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions", Multimedia Tools and Applications, 2023. DO:I https://doi.org/10.1007/s11042-023-14896-y
L.F. Gómez-Gómez, A. Morales, J. Fierrez, J.R. Orozco-Arroyave, "Exploring facial expressions and affective domains for Parkinson detection", PLoS ONE, Vol. 18, No 2, 2023.
M. Camargo-Mendoza, N. Castillo-Triana, and J.R. Orozco-Arroyave, "VOT y VOT ratio en habla conectada de hispanohablantes con Enfermedad de Parkinson", Revista de Investigación en Logopedia, 13(1): e82428, 2023.
P.A. Pérez-Toro, J.C. Vásquez-Correa, T. Bocklet, E. Nöth, and J.R. Orozco-Arroyave, "User state modeling based on the Arousal-Valence plane: applications in customer satisfaction and health-Care", IEEE Transactions on Affective Computing, Vol. 14, No 2, pp. 1533-1546, 2023. 10.1109/TAFFC.2021.3112543
2022
S. Roldán-Vasco, A. Orozco-Duque, and J.R. Orozco-Arroyave, "Swallowing disorders analysis using surface EMG biomarkers and classification models", Digital Signal Processing, vol. 133, No. 103815, pp. 1-12, 2022.
N.R. Calvo-Ariza, L.F. Gómez-Gómez, and J.R. Orozco-Arroyave, "Classical FE Analysis to classify Parkinson's Disease Patients", Electronics, Vol. 11, No. 3533, pp. 1-17, 2022.
Adolfo M. García, Daniel Escobar Grisales, Juan Camilo Vásquez Correa, Yamile Bocanegra, Leonardo Moreno, Jairo Carmona, Juan Rafael Orozco-Arroyave, "Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories", NPJ Parkinson's Disease, Vol. 8 No. 163, pp. 1-10, 2022.
T. Arias-vergara, Anton Batliner, Tobias Rader, Daniel Polterauer, Catalina Högerle, Joachim Müller, J.R. Orozco-Arroyave, Elmar Nöth, and Maria Schuster, "Automatic Prosodic Analysis to Evaluate the Speech Production of Adult Cochlear Implant Users", Journal of Speech, Language, and Hearing Research, pp. 4623-4636, Vol. 65, December, 2022. https://doi.org/10.1044/2022_JSLHR-21-00116
P.A. Pérez-Toro, J.C. Vásquez-Correa, T. Arias-Vergara, P. Klumpp, M. Schuster, E. Nöth, and J.R. Orozco-Arroyave, "Depression Assessment in People with Parkinson’s Disease: The Combination of Acoustic Features and Natural Language Processing", Speech Communication, pp. 10-20, Vol. 145, November, 2022. https://doi.org/10.1016/j.specom.2022.09.001
H.A. Carvajal-Castaño, P.A. Pérez-Toro, and J.R. Orozco-Arroyave, "Classification of Parkinson’s Disease Patients - A Deep Learning Strategy", Electronics, Vol. 11, No. 2684, pp. 1-17, 2022. https://doi.org/10.3390/electronics11172684
A.F. Flórez-Gómez, J.R. Orozco-Arroyave, S. Roldán-Vasco, "Correlación entre espacios de características y trastornos clínicos de la voz en pacientes con disfagia", Tecno Lógicas, Vol. 25, No 53, 2022. https://doi.org/10.22430/22565337.2220
P. Klumpp, T. Arias-Vergara, J.C. Vásquez-Correa, P.A. Pérez-Toro, J.R. Orozco-Arroyave, A. Batliner, and E. Nöth, "The Phonetic Footprint of Parkinson’s Disease", Computer, Speech & Language, Vol. 72, No. 101321, pp. 1-18, 2022. https://doi.org/10.1016/j.csl.2021.101321
A. Rueda, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, E. Nöth, and S. Krishan, "Empirical Mode Decomposition Articulation Feature Extraction on Parkinson’s Diadochokinesia", Computer Speech & Language, Vol. 72, No. 101322, pp. 1-13, 2022. https://doi.org/10.1016/j.csl.2021.101322
H.A. Carvajal -Castaño, J.D. Lemos-Duque, and J.R. Orozco-Arroyave, "Effective Detection of Abnormal Gait Patterns in Parkinson's disease patients Using Kinematics, Nonlinear and Stability Gait Features", Human Movement Science, Vol. 81, No. 102891, 2022. https://doi.org/10.1016/j.humov.2021.102891
L.F. Parra-Gallego and J.R. Orozco-Arroyave, "Classification of Emotions and Evaluation of Customer Satisfaction from Speech in Real World Acoustic Environments", Digital Signal Processing, Vol. 120, No. 103286, 2022. https://doi.org/10.1016/j.dsp.2021.103286
F.O. López-Pabón and J.R. Orozco-Arroyave, "Automatic personality evaluation from transliterations of YouTube vlogs using classical word embeddings" Revista Ingeniería & Investigación, Vol. 42, No. 2, 2022. https://doi.org/10.15446/ing.investig.93803
Guberney Muñetón-Santa, Daniel Escobar-Grisales, Felipe Orlando López-Pabón, Paula Andrea Pérez-Toro and Juan Rafael Orozco-Arroyave"Classification of poverty condition using Natural Language Processing", Social Indicators Research, pp. 1413-1435, Vol. 162, 2022. https://doi.org/10.1007/s11205-022-02883-z
S. Berrío and J.R. Orozco-Arroyave, "Construcción de Mapas Articulatorios para la Detección Automática de la Enfermedad de Parkinson por medio de la voz", Revista de Logopedia, Foniatría y Audiología, pp. 197-207, Vol. 42, No 4, 2022. https://doi.org/10.1016/j.rlfa.2021.12.002
S. Sekhar-Sahu, B. Karan, and J.R. Orozco-Arroyave, "An investigation on the relationship between dysarthria level of speech and the neurological state of Parkinson’s patients", Biocybernetics and Biomedical Engineering, pp. 710-726, Vol, 42, No 2, 2022. https://doi.org/10.1016/j.bbe.2022.04.003
Zoltan Galaz, Peter Drotar, Jiri Mekyska, Matej Gazda, Jan Mucha, Vojtěch Zvončák, Zdenek Smekal, Marcos Faundez-Zanuy, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Steven Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorova, "Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson’s Disease Dysgraphia in a Multilingual Dataset", Frontiers in Neuroinformatics, Vol 16, No. 877139, 2022. https://doi.org/10.3389/fninf.2022.877139
2021
D. Escobar-Grisales, J.C. Vásquez-Correa, and J.R. Orozco-Arroyave, "Author profiling in informal and formal language scenarios via transfer learning", TecnoLógicas, Vol. 24, No 52, e2166, 2021.
A.M. García, T. Arias-Vergara, J.C. Vásquez-Correa, E. Nöth, M. Schuster, A.E. Welch, Y. Bocanegra, A. Baena, and J.R. Orozco-Arroyave, "Cognitive determinants of dysarthria in Parkinson's disease: An automated machine learning approach", Movement Disorders, 2021, Aug 14. doi: 10.1002/mds.28751. Epub ahead of print. PMID: 34390508.
J.C. Vasquez-Correa, C.D. Rios Urrego, J.R. Orozco-Arroyave; J. Rusz; E. Nöth, "Transfer Learning Improves the Accuracy of Convolutional Neural Networks to Classify Patients with Different Speech Disorders in Different Languages: Studies in Patients with Parkinons's and Hungtinton's Diaseases", Pattern Recognition Letters, Vol. 150, pp. 272-279, 2021.
Federica Amato, Luigi Borzì, Gabriella Olmo, J.R. Orozco-Arroyave, "An Algorithm for Parkinson’s Disease detection based on speech analysis", Health Information Science and Systems, Vol. 9, No 32, pp. 1-15, 2021.
Sebastian Roldan-Vasco; Andres Orozco-Duque; Juan Camilo Suarez-Escudero; Rafael Orozco-Arroyave, "Speech Analysis in Patients with Functional Dysphagia", Computer methods and programs in Biomedicine, Vol. 208, September, 2021.
Konstantinos Sechidis, Riccardo Fusaroli, Detlef Wolf, JR Orozco-Arroyave, and Yan-Ping Zhang, "A machine learning perspective on the emotional content of parkinsonian speech", Artificial Intelligence in Medicine, Vol. 115, May, (102061): 1-12, 2021.
B. Karan, S. Sekhar-Sahu, JR Orozco-Arroyave, and K. Mahto, "Non-negative matrix factorization based time-frequency feature extraction of voice signal for Parkinson’s disease prediction", Computer Speech and Language. 101216, Vol. 69, Sept., pp. 1-17, 2021: https://doi.org/10.1016/j.csl.2021.101216
2020
T. Arias-Vergara, P. Klumpp, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, E. Nöth, M. Schuster "Multi-channel Spectrograms for Speech Processing Applications Using Deep Learning Methods" Pattern Analysis and Applications, 1-9, 2020.
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, 122: 56-67, 2020.
Elif Eyigoz, Melody Courson, Lucas Sedeño, Katharina Rogg, JR Orozco-Arroyave, Elmar Nöth, Sabine Skodda, Natalia Trujillo, Mabel Rodríguez, Jan Rusz, Edinson Muñoz, JF. Cardona, Eduar Herrera, Eugenia Hesse, Agustín Ibáñez, Guillermo Cecchi, Adolfo M. García, "From discourse to pathology: Automatic identification of Parkinson’s disease patients via morphological measures across three languages", Cortex, 132: 191-205, 2020.
J.R. Orozco-Arroyave, J.C. Vásquez-Correa et al. "Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait, and hands movement" Neurodegenerative Disease Management, 1-22, 2020.
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, 100(4):3254-3276, 2020.
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, 104(102779):1-13, 2020.
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, 61(102050): 1-11, 2020.
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", Computer Speech & Language, 59: 114-122, 2020.
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", Tecnologicas, 23(47):62-73, 2020.
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, 23(47) 93-108, 2020.
J.S. Guerrero and J.R. Orozco-Arroyave, "Word-Embeddings and Grammar Features to Detect Language Disorders in Alzheimer’s Disease Patients ", Tecnologicas, 23(47) 63-75, 2020.
2019
MC González-Rátiva, JR Orozco-Arroyave, LE Ospina-Giraldo, EP Chaparro-Manrique, "Aproximante [ ð̞ ] en contexto -ado en el habla de Medellín: prueba experimental para la identificación automática de variantes alofónicas y su caracterización acústica", Lenguaje, 47(2S) 514-536, 2019.
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, 173: 43-52, 2019.
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, Jul:23(4): 1618-1630, 2019.
2018
J.C. Vásquez-Correa, J.R. Orozco-Arroyave, T. Bocklet, and E. Nöth, "Towards an Automatic Evaluation of the Dysarthria Level of Patients with Parkinson’s Disease", Journal of Communication Disorders, Vol. 76, pp. 21-36, 2018.
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, Vol. 101, pp. 11-25, 2018.
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, Vol. 21, No 43, pp. 53-69, 2018.
J.R. Orozco-Arroyave, J.C. Vásquez-Correa, et al., "NeuroSpeech: an open-source software for Parkinson's speech analysis", Digital Signal Processing, Vol. 77, pp. 207-221, 2018.
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, Vol. 62, pp. 649-666, 2018.
2017
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, Vol. 82, No. 1, pp. 184-195, 2017.
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, Vol. 46, pp. 96-208.
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, Vol. 9, No. 6, pp. 731-748, 2017.
2016
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, No. 267, pp. 259-263, 2016.
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, No. 267, pp. 235-239, 2016.
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", Rev. Fac. Ing. Univ. Antioquia, No. 79, pp. 69-82, 2016.
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", Rev. Fac. Ing. Univ. Antioquia, No. 79, June, pp. 87-94, 2016.
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, Vol. 162, pp. 19-28, 2016.
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, Vol. 139, No 1, pp. 481-500, 2016.
2015
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", Rev. Invest. Univ. Quindío (Col.), Vol. 27, No 1, pp. 67-74, 2015.
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 BiomedicalHealth Informatics - JBHI, Vol. 19, No 6, pp. 1820-1828, November 2015. (DOI 10.1109/JBHI.2015.2467375).
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”, Journal Expert Systems, Vol. 32, No 6, pp. 688-697, 2015. (DOI 10.1111/exsy.12106).
2014
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, Vol.132, pp. 126-135, 2014.
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", Rev. Fac. Ing. Univ. Antioquia, N°72, September, 2014.
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, vol. 46, N° 1, 2014.
2013
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, vol. 5, Nº 4, pp. 448-457, 2013.
Patricia Henríquez Rodríguez, Jesús B. Alonso Hernández, Miguel A. Ferrer Ballester, Carlos M. Travieso González and Juan R. Orozco-Arroyave, "Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech", Cognitive Computation, vol. 5, N° 4, pp. 517-525, 2013.
Gabriel Darío Villareal Revelo, Juan Rafael 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”, Politécnica, vol. 9, issue 16, pp. 51-62, 2013.
2012
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, vol. 2, Nº 2, pp. 96-107, 2012.
2011
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" Tecno Lógicas, vol. 26, pp. 27-45, 2011.
Conference Papers
2024
P.A. Pérez-Toro, et al. "Longitudinal Modeling of Depression Shifts Using Speech and Language", Proceedings of IEEE ICASSP, pp. 12021-12025, 2024. doi: 10.1109/ICASSP48485.2024.10447195.2024
D. Escobar-Grisales, CD. Ríos-Urrego, I. Baumann, K. Riedhammer, E. Nöth, T. Bocklet, A. M. García, J.R. Orozco-Arroyave, "It’s Time to Take Action: Acoustic Modeling of Motor Verbs to Detect Parkinson’s Disease", Proceedings of Interspeech 2024 (to be presented).
P.A. Pérez-Toro, T. Arias-Vergara, P. Klumpp, T. Weise, M. Schuster, E. Nöth, J.R. Orozco-Arroyave, A. Maier, "Multilingual Speech and Language Analysis for the Assessment of Mild Cognitive Impairment: Outcomes from the Taukadial Challenge" Proceedings of Interspeech 2024 (to be presented).
L.F. Parra-Gallego, T. Purohit, B. Vlasenko, J.R. Orozco-Arroyave, M. Magimai-Doss, "Cross-transfer Knowledge between Speech and Text Encoders to Evaluate Customer Satisfaction", Proceedings of Interspeech 2024 (to be presented).
LQ. Moreno, M.F. Turco, T. Svedsen, G. Salvi, J.R. Orozco-Arroyave, S.M. Siniscalchi "Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions", Proceedings of Interspeech 2024 (to be presented).
D.A. López-Santander, C.D. Ríos-Urrego, C. Bergler, E. Nöth, J.R. Orozco-Arroyave, "Robust classification of Parkinson's speech: an approximation to a scneario with non-controlled acoustic conditions" TSD 2024, (to be presented).
J.D. Gallo-Aristizabal, D. Escobar-Grisales, C.D. Ríos-Urrego, E. Nöth, J.R. Orozco-Arroyave "Automatic Classification of Parkinson's Disease Using Wav2vec Embeddings at Phoneme, Syllable, and Word Levels" TSD 2024, (to be presented).
D. Escobar-Grisales, C.D. Ríos-Urrego, J.R. Orozco-Arroyave, "On the use of a foundation acoustic model to identify highly relevant phonetic information of Parkinson's speech" WEA 2024 (to be presented)
2023
D. Escobar-Grisales, T. Arias-Vergara, C.D. Rios-Urrego, E. Nöth, A.M. Garcı́a, and J.R. Orozco-Arroyave, "An Automatic Multimodal Approach to Analyze Linguistic and Acoustic Cues on Parkinson’s Disease Patients", Proceedings of Interspeech, pp. 1703-1707, Dublin, Ireland, 2023. [Nominated for the best student paper award].
P.A. Pérez-Toro, T. Arias-Vergara, F. Braun, F. Hönig, C.A. Tobón-Quintero, D. Aguillón, F. Lopera, L. Hincapié-Henao, M. Schuster, K. Riedhammer, A. Maier, E. Nöth, and J. R. Orozco-Arroyave, "Automatic Assessment of Alzheimer’s across Three Languages Using Speech and Language Features", Proceedings of Interspeech, pp. 1748-1752, Dublin, Ireland, 2023.
T. Arias-Vergara, E. Londoño-Mora, P.A. Pérez-Toro, M. Schuster, E. Nöth, J.R. Orozco-Arroyave, and A. Maier, "Measuring Phonological Precision in Children with Cleft Lip and Palate", Proceedings of Interspeech, pp. 4638-4642, Dublin, Ireland, 2023.
S. Tayebi Arasteh, C.D. Rios-Urrego, E. Nöth, A. Maier, S.H. Yang, J. Rusz, and J.R. Orozco-Arroyave, "Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages", Proceedings of Interspeech, pp. 5003-5007, Dublin, Ireland, 2023.
C.D. Ríos-Urrego, J. Rusz, E. Nöth, and J.R. Orozco-Arroyave, "Automatic Classification of Hypokinetic and Hyperkinetic Dysarthria based on GMM-Supervectors", Proceedings of Interspeech, pp. 2368-2372, Dublin, Ireland, 2023.
J.D. Gallo-Arisitizábal, D. Escobar-Grisales, C.D. Ríos-Urrego, P.A. Pérez-Toro, E. Nöth, A. Maier, and J.R. Orozco-Arroyave, "Assessment of handwriting in patients with Parkinson's disease using non-intrusive tasks", Presented at the IEEE ISBI 2023. DOI 10.1109/ISBI53787.2023.10230617
P.A. Pérez-Toro, D. Rodríguez-Salas, T. Arias-Vergara, S.P. Bayerl. P. Klumpp, K. Riedhammer, M. Schuster, E. Nöth, A. Maier, and J.R. Orozco-Arroyave, "Transferring quantified emotion knowledge for the detection of depression in Alzheimer's disease using forestnets", Proceedings of the IEEE ICASSP, 2023. DOI10.1109/ICASSP49357.2023.10095219
D. Hemmerling, Marek Wodzinski, J. Orozco-Arroyave, Dávid Sztahó, M. Daniol, Pawel Jemiolo, Magdalena Wojcik-Pedziwiatr, "Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings", Proceedings of the IEEE EMBC conference, 2023.
2022
Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, Andreas Maier, Seung Hee Yang, "Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition" Proceedings of Interspeech, pp. 51-55, 2022.
P. A. Pérez-Toro, P. Klumpp, A. Hernandez, T. Arias-Vergara, P. Lillo, A. Slachevsky, A. M. Garcı́a, M. Schuster, A. K. Maier, E. Nöth, J. R. Orozco-Arroyave, "Alzheimer’s Detection from English to Spanish Using Acoustic and Linguistic Embeddings" Proceedings of Interspeech, pp. 2483-2487, 2022.
Anshul Lahoti , Gurugubelli Krishna , Juan Rafel Orozco Arroyave, and Anil Kumar Vuppala, "Shifted Delta Cepstral Coefficients with RNN to Improve the Detection of Parkinson's Disease from the Speech", Proceedings of IC3, pp. 284-288, 2022.
Philipp Klumpp, Tomás Arias-Vergara, Paula-Andrea Pérez-Toro, Elmar Nöth, Juan Rafael Orozco-Arroyave, "Common Phone: A Multilingual Dataset for Robust Acoustic Modelling", Proceedings of LREC, pp. 763-768, 2022.
2021
P. Klumpp, T. Bocklet, T. Arias-Vergara, J.C. Vásquez-Correa, P.A. Pérez-Toro, S. Bayerl, J.R. Orozco-Arroyave, and E. Nöth, "The phonetic footprint of COVID-19?", Proceedings of Interspeech, 2021 (to be presented).
P.A. Pérez-Toro, S. Bayerl, T. Arias-Vergara, J.C. Vásquez-Correa, P. Klumpp, M. Schuster, E. Nöth, J.R. Orozco-Arroyave, and K. Riedhammer, "Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge", Proceedings of Interspeech, 2021 (to be presented).
L.F. Gómez-Gómez, A. Morales, R. Daza, and J. Fierrez, "Improving Parkinson Detection using Dynamic Features \\ from Evoked Expressions in Video" CVPR, pp. 1562-1570, 2021.
J.C. Vásquez-Correa, T. Arias-Vergara, P. Klumpp, P.A. Pérez-Toro, J.R. Orozco-Arroyave, and E. Nöth, "End2end modeling of speech and gait from patients with Parkinson's disease: comparison between high quality vs. smartphone data", Proceedings of ICASSP, pp. 7298-7302, 2021.
P. A. Pérez-Toro, J. C. Vásquez-Correa, T. Arias-Vergara, P. Klumpp, M. Sierra-Castrillón, M.E. Roldán-López, D. Aguillón, L. Hincapié-Henao, C.A. Tobón-Quintero, T. Bocklet, M. Schuster, J. R. Orozco-Arroyave, and E. Nöth, "Acoustic and linguistic analyses to assess early-onset and genetic Alzheimer's disease", Proceedings of ICASSP, pp. 8338-8342, 2021.
2020
J.C. Vásquez-Correa, T. Bocklet, J.R. Orozco-Arroyave, E. Nöth, "Comparison of User Models Based on GMM-UBM and I-vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients", IEEE ICASSP, Barcelona, Spain, pp. 6544-6548, 2020.
P. Klumpp, T. Arias-Vergara, J.C. Vásquez-Correa, P.A. Pérez-Toro, F. Hönig, E. Nöth, J.R. Orozco-Arroyave, "Surgical Mask Detection with Deep Recurrent Phonetic Models" Proc. Interspeech, 2057-2061, 2020.
2019
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.
Marek Wodzinski, Andrzej Skalski, Daria Hemmerling, Juan Rafael 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.
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.
T. Arias-Vergara, J.R. Orozco-Arroyave, M. Cernak, S. Gollwitzer, M. Schuster, E. Nöth, Phone-attribute posteriors to evaluate the speech of cochlear implant users, INTERSPEECH, pp: 3108-3112, 2019.
J.V. Egas López, J.R. Orozco-Arroyave, Gábor Gosztolya, Assessing Parkinson’s Disease From Speech Using Fisher Vectors, INTERSPEECH, pp: 3063-3067 , 2019.
A. Rueda, J.C. Vásquez-Correa, C.D. Rios-Urrego, J.R. Orozco-Arroyave, S. Krishnan, E. Nöth, Feature Representation of Pathophysiology of Parkinsonian Dysarthria, INTERSPEECH, pp: 3048-3052 , 2019.
J.C. Vásquez-Correa, et al. Apkinson: a Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease, INTERSPEECH (show and tell session), pp: 964-965, 2019.
2018
T. Arias-Vergara, J.C. Vásquez-Correa, F. Klummp, J.R. Orozco-Arroyave, and E. Nöth, "Unobtrusive monitoring of speech impairments of Parkinson's disease patients through mobile devices", Accepted to be presented at the IEEE ICASSP, Calgary, Canada, 2018.
E. Eyigoz, P. Polosecki, A. García, K. Rogg, J.R. Orozco-Arroyave, S. Skodda, E. Hesse, A. Ibañez, and G. Cecchi, "Unsupervised Morphological Segmentation for Detecting Parkinson’s Disease", Proceedings of the AAAI-18 Workshop on Artificial Intelligence to Assistive Technologies and Smart Environments, 2018.
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:2349-2353, 2018.
J. C. Va,squez 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: 456-460, 2018.
2017
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", Proceedings of the 18th INTERSPEECH, Stockholm, pp. 1839-1843, 2017.
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, pp. 314-318, 2017.
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, pp. 299-303, 2017.
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.
J.C. Vasquez-Correa, J. Serrà, J.R. Orozco-Arroyave, J.F. Vargas-Bonilla, and E. Nöth, "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.
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.
A. Kacha, F. Grenez, J.R. Orozco-Arroyave, and J. Schoentgen, "Dysarthric speech analysis by means of the principal components of the spectrogram", Proceedings of the 10th MAVEBA, 2017.
2016
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.
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.
J.R. Orozco-Arroyave, 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", Proceedings of the 41st ICASSP, Shanghai, China, pp. 6490-649, 2016.
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.
A. Kacha, F. Grenez, J. R. Orozco-Arroyave, J. Schoentgen, "Analyse de la parole dysarthrique basée sur le spectre moyen à long terme", Actes des JEP, pp. 1-9, 2016.
2015
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.
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 (Show and tell demo).
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.
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.
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.
2014
J.R. Orozco-Arroyave, “Multilingua System for the Automatic Detection of Parkinson’s Disease”, Doctoral Workshop on Speech Technology, Google, London, UK, 2014.
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), 2014.
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), pp. 1573-1577, Singapore, 2014.
Korbinian Riedhammer, Tobias Bocklet, Juan Rafael 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, 2014.
2013
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.
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.
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.
2012
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, pp. 1061-1064, Montreal-Canada, 2012.
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, 2012.
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, 2012.
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.
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.
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.
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.
2011
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, 2011.
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, 2011.
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, 2011.
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) 2011.
2010
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. 2010. ISBN: 978-958-8060
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, 2010.
Lecture Notes & Book Chapters
2023
S. Moreno-Acevedo, C.D. Rios-Urrego, J.C. Vásquez-Correa, J. Rusz, E. Nöth, and J.R. Orozco-Arroyave, "Language Generalization using Active Learning in the context of Parkinson’s Disease Classification", Lecture Notes in Artificial Intelligence, pp. 349-359, Vol 14102, 2023. DOI 10.1007/978-3-031-40498-6 _ 31
C.D. Ríos-Urrego, D. Escobar-Grisales, S.A. Moreno-Acevedo, P.A. Perez-Toro, E. Nöth, and J.R. Orozco-Arroyave, "Automatic Pronunciation Assessment of Non-native English based on Phonological Analysis", Lecture Notes in Artificial Intelligence, pp. 339-348, Vol 14102, 2023. DOI 10.1007/978-3-031-40498-6_30
2022
Anshul Lahoti , Gurugubelli Krishna , Juan Rafel Orozco Arroyave, and Anil Kumar Vuppala, "Long-Term Average Spectral Feature-Based Parkinson’s Disease Detection from Speech", Advanced Machine Intelligence and Signal Processing, Lecture Notes in Electrical Engineering, Vol. 858, pp. 603-611, 2022.
P.A. Pérez-Toro, P. Klumpp, J.C. Vásquez-Correa, M. Schuster, E. Nöth, J.R. Orozco-Arroyave, and T. Arias-Vergara, "50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders", Lecture Notes in Computer Science, pp. 352-363, 2022.
C. Ríos-Urrego, S.A. Moreno-Acevedo, E. Nöth, and J.R. Orozco-Arroyave, "End-to-End Parkinson’s Disease Detection Using a Deep Convolutional Recurrent Network" Lecture Notes in Computer Science, pp. 326-338, 2022.
S.A. Moreno-Acevedo, D. Escobar-Grisales, J.C. Vásquez-Correa, and J.R. Orozco-Arroyave, "Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets", Communications in Computer and Information Science, pp. 41-53, 2022.
D. Escobar-Grisales, C.D. Ríos-Urrego, D.A. López-Santander, N.R. Calvo-Ariza, En. Nöth, and J.R. Orozco-Arroyave, "Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies", Communications in Computer and Information Science, pp. 54-65, 2022.
2021
L.F. Parra-Gallego, T. Arias-Vergara, and J.R. Orozco-Arroyave, "Robust Automatic Speech Recognition for call center applications", Communication in Computers and Information Science, Vol. 1431, pp. 72-83, 2021.
F.O. López-Pabón and J.R. Orozco-Arroyave, "Evaluation of different word embeddings to create personality models in Spanish", Communication in Computers and Information Science, Vol. 1431, pp. 121-132, 2021.
B. Escobar-Restrepo, J.F. Botero-Vega, and J.R. Orozco-Arroyave, "Automatic classification of energy consumption profiles in processes of the oil \& gas industry in Colombia", Communication in Computers and Information Science, Vol. 1431, pp. 49-59, 2021.
D. Escobar-Grisales, J.C. Vásquez-Correa, and J.R. Orozco-Arroyave, "Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning", Communication in Computers and Information Science, Vol. 1431, pp. 171-179, 2021.
C.D. Ríos-Urrego, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, and E. Nöth, "Is there any additional information in a Neural Network Trained for Pathological Speech Classification?" Lecture Notes in Artificial Intelligence, Vol. 12848, pp. 435-447, 2021.
P.A. Pérez-Toro, J.C. Vásquez-Correa, T. Arias-Vergara, P. Klumpp, M. Schuster, E. Nöth, and J.R. Orozco-Arroyave, "Emotional state modeling for the assessment of depression in Parkinson's disease" Lecture Notes in Artificial Intelligence, Vol. 12848, pp. 457-468, 2021.
2020
C.D. Ríos-Urrego, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, and E. Nöth, "Transfer Learning to Detect Parkinson’s Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing". Lecture Notes in Artificial Intelligence, Vol. 12284, pp: 331-339, 2020.
P. Argüello-Vélez, T. Arias-Vergara, M.C. González-Rátiva, J.R. Orozco-Arroyave, E. Nöth, and M.E. Schuster, "Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson’s Patients". Lecture Notes in Artificial Intelligence, Vol. 12284, pp: 303-311, 2020.
2019
P.A. Pérez-Toro, J.C. Vásquez-Correa, M. Strauss, J.R. Orozco-Arroyave, and E. Nöth, Natural language analysis to detect Parkinson’s disease, Lecture Notes in Computer Science, Vol. 11697, pp: 82-90, 2019.
T. Arias-Vergara, J.R. Orozco-Arroyave, S. Gollwitzer, M. Schuster and E. Nöth, Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users. Lecture Notes in Computer Science, Vol. 11697, pp: 299-306, 2019.
T. Arias-Vergara, J.R. Orozco-Arroyave, S. Gollwitzer, M. Schuster and E. Nöth, Multi-channel Convolutional Neural Networks For Automatic Detection of Speech Deficits in Cochlear Implant Users, Lecture Notes in Computer Science, 2019.
H.A. Carvajal-Castaño and J.R. Orozco-Arroyave, Articulation analysis in the speech of children with cleft lip and palate, Lecture Notes in Computer Science, 2019.
J.C. Vásquez-Correa, T. Arias-Vergara, C.D. Ríos-Urrego, M. Schuster, J.R. Orozco-Arroyave, and E. Nöth, Convolutional neural networks and a transfer learning strategy to classify Parkinson's disease from speech in three different languages, Lecture Notes in Computer Science, 2019. [Best paper presented at CIARP]
2018
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, Vol. 11107, pp. 453-461, 2018.
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, Vol. 11107, pp. 462-470, 2018.
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, Vol. 916, pp. 223-230, 2018.
P.A. Pérez-Toro, J.C. Vásquez-Correa, T. Arias-Vergara, N. García-Ospina, J.R. Orozco-Arroyave, and E. Nöth, "A non-linear dynamics approach to classify gait signals of patients with Parkinson's disease", Communication in Computers and Information Science, Vol. 916, pp. 268-278, 2018.
2017
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, Vol. 10415, pp. 147-155, 2017.
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, Vol. 10415, pp. 371-379, 2017.
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, Vol. 10415, pp. 272-280, 2017.
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, Vol. 10338, pp. 424-434, 2017.
2016
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, Vol. 9924, pp. 400-407, 2016.
2015
J.C. Vásquez-Correa, 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",
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, Vol. 9302, pp. 88-95, 2015.
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, Vol. 9302, pp. 96-104, 2015.
Juan Rafafel Orozco-Arroyave, Tino Haderlein, and Elmar Nöth, "Automatic Detection of Parkinson’s Disease in Reverberant Environments", Lecture Notes in Artificial Intelligence, Springer-Verlag, Vol. 9302, pp. 80-87, 2015.
2014
Juan Rafafel 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, Vol. 8655, pp. 389-296, 2014.
2013
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 - 7930, Springer-Verlag, Vol. 7930, pp. 283-292, 2013.
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 - 7930, Springer-Verlag, Vol. 7930, pp. 201-211, 2013.
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 - 7911, Springer-Verlag, Vol. 7911, pp. 112-119, 2013.
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 - 7911,Springer-Verlag, Vol. 7911, pp. 136-143, 2013.
2011
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.
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, Vol. 7015, pp. 207-214, 2011.
Patricia Henríquez, Jesús B. Alonso, Miguel A. Ferrer, Carlos M. Travieso and Juan R. Orozco- Arroyave, "Application of Nonlinear Dynamics Characterization to Emotional Speech", Lecture Notes in Artificial Intelligence - 7015, Springer-Verlag, Vol. 7015, pp. 127-136, 2011.
Books and Other Book Chapters
2020
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, 2020.
A.M. García, Y. Bocanegra, A. Birba, J.R. Orozco-Arroyave, L. Sedeño, A. Ibañez, "Disruptions of frontostriatal language functions in Parkinson’s disease", Chapter 26, In: The Neuroscience of Parkinson's Disease, Academic Press/Elsevier, 2020.
2016
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.
2015
J.R. Orozco-Arroyave, J.D. Arias-Londoño, and J.F. Vargas, "Voces de niños con labio o paladar hendido: análisis computarizado para diagnóstico y seguimiento de patologías", Ed. Universidad de Antioquia, Medellín - Colombia, 2015. ISBN 978-958-714-636-3.
J.R. Orozco-Arroyave, "Guías de estudio Procesamiento digital de señales - PDS - Programa de educación virtual Ude@, Medellín - Colombia, 2013. ISBN 978-958-8748-76-4. Link: http://bibliotecadigital.udea.edu.co/html/10495/1713/index.html
Keynotes and invited talks
2023
Speech and Language Markers in Neurodegeneration. Keynote at TSD, Brno, Czech Republic, September, 2023.
Speech, Language, and Movement Processing to Model Parkinson's Disease. Keynote at the IEEE International Conference on Pattern Recognition Systems, Guayaquil, Ecuador, June 2023.
Analysis of Parkinson's speech: classical approaches, phonemic identifiability and future problems to address. Invited talk at IDIAP, Martigny, Switzerland, March, 2023.
2021
Overview of Machine Learning Methods to Model Symptoms in Movement Disorders (The case of Parkinson's disease): from Classical ML to Deep Learning. Invited talk at AI4Health, University of Luxemburg, Luxemburg, 2021.
2019
Análisis de Patrones: Aplicaciones en Medicina y Biometría. Seminario Industrial 4.0, Medellín, Colombia, 2019.
Analysis of speech for the detection and monitoring of neurodegenerative disorders. Invited talk at University of Kiel, Kiel, Germany, September, 2019.
2018
Análisis de voz para detección y monitoreo de enfermedades NeuroDegenerativas. Semana de la Inteligencia Artificial, Ruta N, Medellín, Colombia. 2018.