biography

by admin — last modified 2021-01-22T14:23:53+01:00

SHORT BIOSKETCH

I received the B.S. degree in Electronics Engineering from University of Antioquia (Medellin, Colombia) in 2014, and the Master of Science degree at the same institution in 2017. Currently ,I am a PhD student at University of Antioquia (Colombia) and at Friedrich Alexander University Erlangen-Nuremberg (Germany) in a joint degree program. Additionally, I'm a guest researcher in the Department of Otorhinolaryngology, Head and Neck Surgery from the Ludwig-Maximilians-Universität in Munich (Germany). Also, I love Schnitzel.

Research Interests

Pattern Recognition.
Machine Learning.
Digital signal processing.
Speech Processing.

Publications

Journals

[LINK] 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, 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. Vol 104. 2020.

[LINK] P. A. Pérez-Toro, J. C. Vásquez-Correa, T. Arias-Vergara, E. Nöth, & J. R. Orozco-Arroyave. Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease. Nonlinear Dynamics, Vol 100, pp 3253–3276, 2020.

J. R. Orozco-Arroyave, J.C. Vasquez-Correa, P. Klumpp, P. A. Pérez-Toro, D. Escobar-Grisales, T. Arias-Vergara et al.. Apkinson: the smartphone application for telemonitoring Parkinson’s patients through speech, gait and hands movement. Neurodegenerative Disease Management, 10(3), 137-157, 2020.

J.C. Vasquez-Correa, T. Arias-Vergara, M. Schuster, J.R. Orozco-Arroyave, E. Nöth, Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson’s Disease and Cleft Lip and Palate, Speech Communication, Vol 122, pp 56-67,2020

F. O. López-Pabon, T. Arias-Vergara, J. R. Orozco-Arroyave. Cepstral analysis and the Hilbert-Huang Transform for the automatic detection of Parkinson's disease. Cepstral Analysis and Hilbert-Huang Transform for Automatic Detection of Parkinson’s Disease. TecnoLógicas, 23(47), 93-108, 2020.

[LINK] 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.

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, 2018.

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, 9(6), p. 731-748., 2017.

Conferences

2020

P. Arguello-Velez, T. Arias-Vergara, M. C. González-Rátiva, J. R. Orozco-Arroyave, E. Nöth., & M. Schuster. Acoustic characteristics of vot in plosive consonants produced by parkinson’s patients. In Proceedings of Text, Speech, and Dialogue. Lecture Notes in Computer Science, Springer, Cham, , vol 12284, pp. 303-311, 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. In Proceeding of the 21th INTERSPEECH, pp 2057-2061. 2020.

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. In Proceeding of the 20th INTERSPEECH, Graz, Austria, pp. 3108-3112, 2019.

[LINK] T. Arias-Vergara, S. Gollwitzer, J. R. Orozco-Arroyave, M. Schuster, E. Nöth. Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users. In Proceedings of Text, Speech, and Dialogue. Lecture Notes in Computer Science, Springer, Cham , vol 11697, pp 299-306, 2019.

[LINK] T. Arias-Vergara, J. C. Vásquez-Correa, S. Gollwitzer, J. R. Orozco-Arroyave, M. Schuster, E. Nöth. Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users. Accepted to be presented at the 24th Iberoamerican Congress on Pattern Recognition, La Havana, Cuba. 2019.

T. Arias-Vergara, S. Gollwitzer, J. R. Orozco-Arroyave, J.C. 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; 98(S02), pp 305 – 305, 2019.

J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego, M. Schuster, J. R. Orozco-Arroyave, E. Nöth. Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages. Accepted to be presented at the 24th Iberoamerican Congress on Pattern Recognition, La Havana, Cuba. 2019.

J. C. Vásquez-Correa, T. Arias-Vergara, et. al. Apkinson: a Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease. In Proceeding of the 20th INTERSPEECH, Graz, Austria, pp. 964-965, 2019.

2018

T. Arias-Vergara, P. Klummp, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, and E. Nöth. Unobtrusive Monitoring of Speech Impairments of Parkinson’s Disease Patients Through Mobile Devices. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Canada, pp. 6004-6008, 2018.

J.C. Vásquez-Correa, T. Arias-Vergara, J.R. Orozco-Arroyave, and E. Nöth. A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson’s Disease. In Proceeding of the 19th INTERSPEECH, Hyderabad, India, pp. 456-460, 2018.

[LINK] N. Garcia-Ospina, T. Arias-Vergara, J. C. Vásquez-Correa, M. Cernak, J. R. Orozco-Arroyave, and E. Nöth. Phonological i-Vectors to Detect Parkinson’s Disease. In Text, Speech, and Dialogue: 21st International Conference, Brno, Czech Republic, 2018.

P. A. Pérez-Toro, J. C. Vásquez-Correa, T. Arias-Vergara, N. Garcia-Ospina, J. R. Orozco-Arroyave, and E. Nöth. A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson’s Disease. Communications in Computer and Information Science, Springer, 2018.

L. F. Parra-Gallego, T. Arias-Vergara, J. C. Vásquez-Correa, N. Garcia-Ospina, J. R. Orozco-Arroyave and E. Nöth. Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises. Communications in Computer and Information Science, Springer, 2018

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." International Conference on Text, Speech, and Dialogue. Springer, Cham, pp. 371-379, 2017.

J.C. Vásquez-Correa, 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." International Conference on Text, Speech, and Dialogue. Springer, Cham, pp. 272-280, 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", in Proceeding of the 18th INTERSPEECH, Stockholm, Sweden, pp. 1839-1843, 2017.

2016

T. Arias-Vergara, J. C. Vasquez-Correa, J. R. Orozco-Arroyave, J. F. Vargas-Bonilla, and E. Nöth, "Parkinson’s disease progression assessment from speech using GMM-UBM", in Proceedings of the 17th INTERSPEECH, San Francisco, USA, pp. 1933-1937, 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,” in Proceedings of the 12th ITG Conference on Speech Communication, Paderborn, Germany, pp. 259–263, 2016.

J.C. Vasquez-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," in Proceedings of the 12th ITG Conference on Speech Communication, Paderborn, Germany, pp. 235-239, 2016.

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. " in Proceedings of the 16th INTERSPEECH, Dresden, Germany, pp.105-109,2015.

Other publications

M. Schuster, T. Arias-Vergara, R. Müller-Hörner, C. Winterholler, T. Bocklet. Verstehen mich mit der Maske eigentlich noch alle? [Speech quality changes due to face masks]. MMW Fortschr Med; 162(14):42-44, 2020.