Juan Camilo Vasquez Correa

Juan Camilo Vasquez Correa, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room 10.158
Martensstr. 3
91058 Erlangen
Germany

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

Office hours

Daily Mo, Tu, We, Th, Fr, 09:00 - 19:00, Room 10.158,

Follow @jcvasquezc1

Academic CV

Since 04/2018:
Researcher at Pattern Recognition Lab, Friedrich Alexander University-Erlangen-Nuremberg
Since 08/2016:
Lecturer at Department of Electronics and Telecommunications Engineering, Uni-
versity of Antioquia, Colombia.
04/2016-09/2016:
Software developer at Department of Electronics and Telecommunications Engineering, Uni-
versity of Antioquia, Colombia.
06/2016 – 08/2016
Visiting researcher, Center for Language and Speech Processing | Johns Hopkins University, Baltimore, U.S.A
11/2015 – 03/2016
Intern researcher, Telefónica research, Barcelona Spain.

Projects

2018

Modelling the progression of neurological diseases

(Third Party Funds Group – Sub project)

Overall project: Training Network on Automatic Processing of PAthological Speech
Term: since May 1, 2018
Funding source: Innovative Training Networks (ITN)

Abstract

Develop speech technology that can allow unobtrusive monitoring of many kinds of neurological diseases. The state of a patient can degrade slowly between medical check-ups. We want to track the state of a patient unobtrusively without the feeling of constant supervision. At the same time the privacy of the patient has to be respected. We will concentrate on PD and thus on acoustic cues of changes. The algorithms should run on a smartphone, track acoustic changes during regular phone conversations over time and thus have to be low-resource. No speech recognition will be used and only some analysis parameters of the conversation are stored on the phone and transferred to the server.

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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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Publications

2022

Journal Articles

Rueda A., Vasquez Correa J., Orozco Arroyave JR., Nöth E., Krishnan S.:
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia
In: Computer Speech and Language 72 (2022)
ISSN: 0885-2308
DOI: 10.1016/j.csl.2021.101322
BibTeX: Download

Conference Contributions

Pérez-Toro PA., Klumpp P., Vasquez-Correa JC., Schuster M., Nöth E., Orozco-Arroyave JR., Arias Vergara T.:
50 Shades of Gray: Effect of the Color Scale for the Assessment of Speech Disorders
25th International Conference on Text, Speech, and Dialogue, TSD 2022 (Brno, CZE, September 6, 2022 - September 9, 2022)
In: Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-16270-1_29
BibTeX: Download

2021

Journal Articles

Ramos VM., Vasquez Correa J., Cremers R., Van Den Steen L., Nöth E., De Bodt M., Van Nuffelen G.:
Automatic boost articulation therapy in adults with dysarthria: Acceptability, usability and user interaction
In: International Journal of Language & Communication Disorders (2021)
ISSN: 1368-2822
DOI: 10.1111/1460-6984.12647
BibTeX: Download
Pérez Toro PA., Vasquez Correa J., Bocklet T., Nöth E., Orozco-Arroyave JR.:
User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care
In: IEEE Transactions on Affective Computing (2021)
ISSN: 1949-3045
DOI: 10.1109/TAFFC.2021.3112543
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
Escobar-Grisales D., Vasquez Correa J., Orozco Arroyave JR.:
Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning
8th Workshop on Engineering Applications, WEA 2021 (Virtual, Online, October 6, 2021 - October 8, 2021)
In: Juan Carlos Figueroa-García, Yesid Díaz-Gutierrez, Elvis Eduardo Gaona-García, Alvaro David Orjuela-Cañón (ed.): Communications in Computer and Information Science 2021
DOI: 10.1007/978-3-030-86702-7_15
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
22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 (, August 30, 2021 - September 3, 2021)
In: Proc. Interspeech 2021 2021
DOI: 10.21437/Interspeech.2021-1589
BibTeX: Download
Vasquez Correa J., Fritsch J., Orozco Arroyave JR., Nöth E., Magimai-Doss M.:
On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease
Interspeech Conference (Brno)
In: INTERSPEECH 2021, BAIXAS: 2021
DOI: 10.21437/Interspeech.2021-1084
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
Orozco-Arroyave JR., Vasquez Correa J., Klumpp P., Pérez Toro PA., Escobar-Grisales D., Roth N., Ríos-Urrego CD., Strauß M., Carvajal-Castaño HA., Bayerl S., Castrillón-Osorio LR., Arias-Vergara T., Küderle A., López-Pabón FO., Parra-Gallego LF., Eskofier B., Gómez-Gómez LF., Schuster M., Nöth E.:
Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement
In: Neurodegenerative Disease Management (2020)
ISSN: 1758-2024
DOI: 10.2217/nmt-2019-0037
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

Book Contributions

Orozco-Arroyave JR., Vasquez Correa J., Nöth E.:
Current methods and new trends in signal processing and pattern recognition for the automatic assessment of motor impairments: the case of Parkinson's disease
In: Ayman El-Baz and Jasjit S Suri (ed.): Neurological Disorders and Imaging Physics, Volume 5 Applications in dyslexia, epilepsy and Parkinson's, IOP, 2020
ISBN: 978-0-7503-2723-7
DOI: 10.1088/978-0-7503-2723-7ch8
URL: https://iopscience.iop.org/chapter/978-0-7503-2723-7/bk978-0-7503-2723-7ch8.pdf
BibTeX: Download

Conference Contributions

Vasquez Correa J., Bocklet T., Orozco Arroyave JR., Nöth E.:
Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson’s Disease Patients
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, May 4, 2020 - May 8, 2020)
DOI: 10.1109/ICASSP40776.2020.9054348
BibTeX: Download
Miller GF., Vasquez Correa J., Nöth E.:
Assessing the dysarthria level of parkinson’s disease patients with gmm-ubm supervectors using phonological posteriors and diadochokinetic exercises
23rd International Conference on Text, Speech, and Dialogue, TSD 2020 (Brno, September 8, 2020 - September 11, 2020)
In: Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-58323-1_39
BibTeX: Download
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
Rios-Urrego CD., Vasquez Correa J., Orozco Arroyave JR., Nöth E.:
Transfer learning to detect parkinson’s disease from speech in different languages using convolutional neural networks with layer freezing
23rd International Conference on Text, Speech, and Dialogue, TSD 2020 (Brno, September 8, 2020 - September 11, 2020)
In: Petr Sojka, Ivan Kopecek, Karel Pala, Aleš Horák (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-58323-1_36
BibTeX: Download

2019

Journal Articles

Rios-Urrego CD., Vargas-Bonilla F., Nöth E., Lopera F., Orozco Arroyave JR.:
Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features
In: Computer Methods and Programs in Biomedicine 173 (2019), p. 43-52
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2019.03.005
URL: https://www.sciencedirect.com/science/article/pii/S0169260719300574
BibTeX: Download

Book Contributions

Vasquez Correa J., Rios-Urrego CD., Rueda A., Orozco Arroyave JR., Krishnan S., Nöth E.:
Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients
In: Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez (ed.): Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Cham: Springer, 2019, p. 688-696 (Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol.11896)
ISBN: 9783030339036
DOI: 10.1007/978-3-030-33904-3_65
BibTeX: Download
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
Hosseini-Kivanani N., Vasquez Correa J., Stede M., Nöth E.:
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies
57th Annual Meeting of the Association-for-Computational-Linguistics (ACL) (Florence, July 28, 2019 - August 2, 2019)
In: 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019:): STUDENT RESEARCH WORKSHOP, STROUDSBURG: 2019
DOI: 10.18653/v1/p19-2010
BibTeX: Download
Rueda A., Vasquez Correa J., Rios-Urrego CD., Orozco-Arroyave JR., Krishnan S., Nöth E.:
Feature representation of pathophysiology of parkinsonian dysarthria
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.2019-2490
BibTeX: Download
Klumpp P., Vasquez Correa J., Haderlein T., Nöth E.:
Feature space visualization with spatial similarity maps for pathological speech data
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.): Proc. Interspeech 2019 2019
DOI: 10.21437/Interspeech.2019-2080
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
Perez-Toro PA., Vasquez Correa J., Strauß M., Orozco Arroyave JR., Nöth E.:
Natural Language Analysis to Detect Parkinson's Disease
DOI: 10.1007/978-3-030-27947-9_7
BibTeX: Download
Pérez-Toro PA., Vasquez Correa J., Strauß M., Orozco Arroyave JR., Nöth E.:
Natural Language Analysis to Detect Parkinson’s Disease
22nd International Conference on Text, Speech, and Dialogue, TSD 2019 (Ljubljana, September 11, 2019 - September 13, 2019)
In: Kamil Ekštein (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-27947-9_7
BibTeX: Download
Vasquez Correa J., Klumpp P., Orozco Arroyave JR., Nöth E.:
Phonet: A tool based on gated recurrent neural networks to extract phonological posteriors from speech
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.2019-1405
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
Rafael Orozco-Arroyave J., Vasquez Correa J., Francisco Vargas-Bonilla J., Arora R., Dehak N., Nidadavolu PS., Christensen H., Rudzicz F., Yancheva M., Chinaei H., Vann A., Vogler N., Bocklet T., Cernak M., Hannink J., Nöth E.:
NeuroSpeech: An open-source software for Parkinson's speech analysis
In: Digital Signal Processing 77 (2018), p. 207-221
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2017.07.004
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
Vasquez Correa J., Orozco-Arroyave JR., Bocklet T., Nöth E.:
Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease
In: Journal of Communication Disorders 76 (2018), p. 21-36
ISSN: 0021-9924
DOI: 10.1016/j.jcomdis.2018.08.002
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Vasquez-Correa18-TAA.pdf
BibTeX: Download

Book Contributions

Vasquez Correa J., Garcia N., Orozco-Arroyave JR., Cernak M., Nöth E.:
Phonological posteriors and GRU recurrent units to assess speech impairments of patients with Parkinson’s disease
In: Prof. Dr. Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (ed.): Text, Speech, and Dialogue, Springer Interational, 2018, p. 453-461 (Lecture Notes in Computer Science, Vol.11107)
ISBN: 978-3-030-00794-2
DOI: 10.1007/978-3-030-00794-2_49
URL: https://link.springer.com/chapter/10.1007/978-3-030-00794-2_49
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
Garcia N., Vasquez Correa J., Arroyave JRO., Nöth E.:
Multimodal i-vectors to Detect and Evaluate Parkinson's Disease
INTERSPEECH
In: Proceedings of INTERSPEECH 2018
DOI: 10.21437/Interspeech.2018-2295
URL: https://www.isca-speech.org/archive/Interspeech_2018/pdfs/2295.pdf
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
Arias Vergara T., Vasquez Correa J., Rafael Orozco-Arroyave J., Klumpp P., Nöth E.:
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices
43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DOI: 10.1109/ICASSP.2018.8462332
URL: https://ieeexplore.ieee.org/abstract/document/8462332
BibTeX: Download

2017

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
Vasquez Correa J., Rafael Orozco-Arroyave J., Nöth E.:
Word accuracy and dynamic time warping to assess intelligibility deficits in patients with Parkinsons disease
21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
DOI: 10.1109/STSIVA.2016.7743349
BibTeX: Download

Lectures

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Thesis

Type	Title	Status
BA thesis	Automated analysis of Parkinson’s Disease on the basis of evaluation of handwriting	finished
MA thesis	Modelling of Speech Aspects in Parkinson’s Disease by Multitask Deep Learning	finished
MA thesis	Representation learning strategies to model pathological speech: effect of multiple spectral resolutions	finished

Juan Camilo Vasquez Correa, M. Sc.

Office hours

Academic CV Academic CV

Projects Projects

2018

Modelling the progression of neurological diseases

2017

Training Network on Automatic Processing of PAthological Speech

Publications Publications

2022

Journal Articles

Conference Contributions

2021

Journal Articles

Conference Contributions

2020

Journal Articles

Book Contributions

Conference Contributions

2019

Journal Articles

Book Contributions

Conference Contributions

2018

Journal Articles

Book Contributions

Conference Contributions

2017

Authored Books

Journal Articles

Conference Contributions

2016

Conference Contributions

Lectures Lectures

Thesis Thesis

Academic CV

Projects

Publications

Lectures

Thesis