Tomas Arias Vergara

Tomas Arias Vergara, M. Sc.

Lehrstuhl für Informatik 5 (Mustererkennung)
Chair of Computer Science 5 (Pattern Recognition)

Room 10.158
Martensstr. 3
91058 Erlangen

Phone number: +49 9131 85 27137
Fax number: +49 9131 85 27270
Email: tomas.arias@fau.de
Website: https://lme.tf.fau.de/person/arias/

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.

Since May/2018:
Researcher at Ludwig-Maximilians University, Munich, Germany
Since May/2018:
Marie Curie Research Fellow at Training Network on Automatic Processing of PAthological Speech – TAPAS
Since May/2018:
PhD Candidate at Friedrich-Alexander University, Erlangen-Nuernberg, Germany
Since Jan/2017:
PhD Candidate at University of Antioquia, Medellin, Colombia

2017

Training Network on Automatic Processing of PAthological Speech

(Third Party Funds Group – Overall project)

Term: November 1, 2017 - October 31, 2021
Funding source: Innovative Training Networks (ITN)
URL: https://www.tapas-etn-eu.org/

Abstract

There are an increasing number of people across Europe with debilitating speech pathologies (e.g., due to stroke, Parkinson's, etc). These groups face communication problems that can lead to social exclusion. They are now being further marginalised by a new wave of speech technology that is increasingly woven into everyday life but which is not robust to atypical speech. TAPAS is a Horizon 2020 Marie Skłodowska-Curie Actions Innovative Training Network European Training Network (MSCA-ITN-ETN) project that aims to transform the well being of these people.
The TAPAS work programme targets three key research problems:
(a) Detection: We will develop speech processing techniques for early detection of conditions that impact on speech production. The outcomes will be cheap and non-invasive diagnostic tools that provide early warning of the onset of progressive conditions such as Alzheimer's and Parkinson's.
(b) Therapy: We will use newly-emerging speech processing techniques to produce automated speech therapy tools. These tools will make therapy more accessible and more individually targeted. Better therapy can increase the chances of recovering intelligible speech after traumatic events such a stroke or oral surgery.
(c) Assisted Living: We will re-design current speech technology so that it works well for people with speech impairments and also helps in making informed clinical choices. People with speech impairments often have other co-occurring conditions making them reliant on carers. Speech-driven tools for assisted-living are a way to allow such people to live more independently.
TAPAS adopts an inter-disciplinary and multi-sectorial approach. The consortium includes clinical practitioners, academic researchers and industrial partners, with expertise spanning speech engineering, linguistics and clinical science. All members have expertise in some element of pathological speech. This rich network will train a new generation of 15 researchers, equipping them with the skills and resources necessary for lasting success.

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2021

Journal Articles

Klumpp P., Arias-Vergara T., Vásquez-Correa JC., Pérez Toro PA., Orozco-Arroyave JR., Batliner A., Nöth E.:
The Phonetic Footprint of Parkinson's Disease
In: Computer Speech and Language 72 (2021)
ISSN: 0885-2308
DOI: 10.1016/j.csl.2021.101321
URL: https://www.sciencedirect.com/science/article/abs/pii/S0885230821001169
BibTeX: Download
Vásquez-Correa JC., Rios-Urrego CD., Arias-Vergara T., Schuster M., Rusz J., Nöth E., Orozco-Arroyave JR.:
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages
In: Pattern Recognition Letters (2021)
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2021.04.011
BibTeX: Download

Conference Contributions

Pérez Toro PA., Vasquez Correa J., Arias-Vergara T., Klumpp P., Sierra-Castrillón M., Roldán-López ME., Aguillón D., Hincapié-Henao L., Tóbon-Quintero CA., Bocklet T., Schuster M., Orozco-Arroyave JR., Nöth E.:
Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOI: 10.1109/ICASSP39728.2021.9414009
URL: https://ieeexplore.ieee.org/abstract/document/9414009
BibTeX: Download
Vasquez Correa J., Arias-Vergara T., Klumpp P., Pérez Toro PA., Orozco-Arroyave JR., Nöth E.:
End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOI: 10.1109/ICASSP39728.2021.9414729
URL: https://ieeexplore.ieee.org/abstract/document/9414729
BibTeX: Download
Pérez Toro PA., Bayerl S., Arias-Vergara T., Vasquez Correa J., Klumpp P., Schuster M., Nöth E., Orozco-Arroyave JR., Riedhammer K.:
Influence of the Interviewer on the Automatic Assessment of Alzheimer’s Disease in the Context of the ADReSSo Challenge
Interspeech 2021 (, August 30, 2021 - September 3, 2021)
In: Proc. Interspeech 2021 2021
DOI: 10.21437/Interspeech.2021-1589
BibTeX: Download
Klumpp P., Bocklet T., Arias-Vergara T., Vasquez Correa J., Pérez Toro PA., Bayerl S., Orozco-Arroyave JR., Nöth E.:
The Phonetic Footprint of Covid-19
Interspeech 2021 (, August 30, 2021 - September 3, 2021)
In: Proc. Interspeech 2021 2021
DOI: 10.21437/Interspeech.2021-1488
BibTeX: Download

2020

Journal Articles

Arias-Vergara T., Arguello-Velez P., Vasquez Correa J., Nöth E., Schuster M., González-Rátiva MC., Orozco Arroyave JR.:
Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units
In: Digital Signal Processing 104 (2020), Article No.: 102779
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2020.102779
BibTeX: Download
Vasquez Correa J., Arias-Vergara T., Schuster M., Orozco Arroyave JR., Nöth E.:
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate
In: Speech Communication 122 (2020), p. 56-67
ISSN: 0167-6393
DOI: 10.1016/j.specom.2020.07.005
BibTeX: Download
Pérez Toro PA., Vasquez Correa J., Arias-Vergara T., Nöth E., Orozco-Arroyave JR.:
Nonlinear dynamics and Poincare sections to model gait impairments in different stages of Parkinson's disease
In: Nonlinear Dynamics 100 (2020), p. 3253-3276
ISSN: 0924-090X
DOI: 10.1007/s11071-020-05691-7
BibTeX: Download
Pérez-Toro PA., Vasquez Correa J., Arias-Vergara T., Nöth E., Orozco Arroyave JR.:
Nonlinear dynamics and Poincaré sections to model gait impairments in different stages of Parkinson’s disease
In: Nonlinear Dynamics (2020)
ISSN: 0924-090X
DOI: 10.1007/s11071-020-05691-7
BibTeX: Download

Conference Contributions

Klumpp P., Arias-Vergara T., Vasquez Correa J., Pérez Toro PA., Hönig FT., Nöth E., Orozco-Arroyave JR.:
Surgical mask detection with deep recurrent phonetic models
21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020
DOI: 10.21437/Interspeech.2020-1723
BibTeX: Download

2019

Book Contributions

Vasquez Correa J., Arias-Vergara T., Rios-Urrego CD., Schuster M., Rusz J., Orozco Arroyave JR., Nöth E.:
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages
In: Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez (ed.): Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019, p. 697-706 (Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol.11896)
ISBN: 9783030339036
DOI: 10.1007/978-3-030-33904-3_66
BibTeX: Download
Arias-Vergara T., Vasquez Correa J., Gollwitzer S., Orozco-Arroyave JR., Schuster M., Nöth E.:
Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users
In: Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez (ed.): Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019, p. 679-687 (Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol.11896)
ISBN: 9783030339036
DOI: 10.1007/978-3-030-33904-3_64
BibTeX: Download

Conference Contributions

Arias-Vergara T., Orozco Arroyave JR., Vasquez Correa J., Nöth E., Schuster M., Gollwitzer S., Högerle C.:
Speech differences between CI users with pre- and postlingual onset of deafness detected by speech processing methods on voiceless to voice transitions
90. Jahresversammlung der Deutschen Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie (Estrel Congress Center Berlin, May 29, 2019 - June 1, 2019)
In: Laryngo-Rhino-Otol 2019 2019
DOI: 10.1055/s-0039-168632
BibTeX: Download
Arias-Vergara T., Gollwitzer S., Orozco Arroyave JR., Schuster M., Nöth E.:
Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users.
Text, Speech, and Dialogue 2019 (Ljubljana, September 11, 2019 - September 13, 2019)
In: Kamil Ekštein (ed.): Lecture Notes in Computer Science 2019
DOI: 10.1007/978-3-030-27947-9_25
BibTeX: Download
Arias-Vergara T., Orozco-Arroyave JR., Cernak M., Gollwitzer S., Schuster M., Nöth E.:
Phone-attribute posteriors to evaluate the speech of cochlear implant users
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, September 15, 2019 - September 19, 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-2144
BibTeX: Download
Arias-Vergara T., Vasquez Correa J., Gollwitzer S., Orozco Arroyave JR., Schuster M., Nöth E.:
Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users
Iberoamerican Congress on Pattern Recognition
In: CIARP 2019: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications 2019
DOI: 10.1007/978-3-030-33904-3_64
BibTeX: Download

2018

Journal Articles

Vasquez Correa J., Arias-Vergara T., Rafael Orozco-Arroyave J., Eskofier B., Klucken J., Nöth E.:
Multimodal assessment of Parkinson's disease: a deep learning approach
In: IEEE Journal of Biomedical and Health Informatics (2018)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2018.2866873
URL: https://ieeexplore.ieee.org/document/8444654
BibTeX: Download
Arias-Vergara T., Vasquez Correa J., Rafael Orozco-Arroyave J., Nöth E.:
Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions
In: Speech Communication 101 (2018), p. 11-25
ISSN: 0167-6393
DOI: 10.1016/j.specom.2018.05.007
URL: https://www.sciencedirect.com/science/article/abs/pii/S0167639317304454
BibTeX: Download

Conference Contributions

Vasquez Correa J., Arias-Vergara T., Orozco-Arroyave JR., Nöth E.:
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease
INTERSPEECH
In: Proceedings of INTERSPEECH 2018
DOI: 10.21437/Interspeech.2018-1988
URL: https://www.isca-speech.org/archive/Interspeech_2018/abstracts/1988.html
BibTeX: Download
Arias-Vergara T., Vasquez Correa J., Orozco Arroyave JR., Klumpp P., Nöth E.:
Unobtrusive Monitoring of Speech Impairments of Parkinson's Disease Patients Through Mobile Devices
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
DOI: 10.1109/ICASSP.2018.8462332
BibTeX: Download

2017

Authored Books

Vasquez Correa J., Castrillon R., Arias-Vergara T., Orozco Arroyave JR., Nöth E.:
Speaker model to monitor the neurological state and the dysarthria level of patients with parkinson’s disease
Springer Verlag, 2017
ISBN: 9783319642055
DOI: 10.1007/978-3-319-64206-2_31
BibTeX: Download

Conference Contributions

Klumpp P., Janu T., Arias-Vergara T., Vasquez Correa J., Rafael Orozco-Arroyave J., Nöth E.:
Apkinson — A Mobile Monitoring Solution for Parkinson's Disease
Interspeech 2017
In: Interspeech 2017 2017
URL: https://www.researchgate.net/profile/Juan_Vasquez12/publication/319185470_Apkinson_-_A_Mobile_Monitoring_Solution_for_Parkinson's_Disease/links/59b9fecfa6fdcc68723177dc/Apkinson-A-Mobile-Monitoring-Solution-for-Parkinsons-Disease.pdf
BibTeX: Download
Arias-Vergara T., Klumpp P., Vasquez Correa J., Orozco Arroyave JR., Nöth E.:
Parkinson’s disease progression assessment from speech using a mobile device-based application
20th International Conference on Text, Speech and Dialogue, TSD 2017
In: TSD 2017: Text, Speech, and Dialogue 2017
DOI: 10.1007/978-3-319-64206-2_42
BibTeX: Download

2016

Conference Contributions

Arias-Vergara T., Vasquez Correa J., Orozco-Arroyave JR., Vargas-Bonilla JF., Haderlein T., Nöth E.:
Gender-dependent GMM-UBM for Tracking Parkinson's Disease Progression from Speech
12. ITG Fachtagung Sprachkommunikation (Paderborn)
In: Speech Communication - 12. ITG Fachtagung Sprachkommunikation, Berlin: 2016
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Arias-Vergara16-GGF.pdf
BibTeX: Download

Tomas Arias Vergara