Training Network on Automatic Processing of PAthological Speech

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Publications

A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease

Author(s): Juan Camilo Vásquez Correa, Tomas Arias, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Interspeech 2018, 2018, Page(s) 456-460
Publisher: ISCA
DOI: 10.21437/interspeech.2018-1988

Multimodal I-vectors to Detect and Evaluate Parkinson's Disease

Author(s): Nicanor Garcia, Juan Camilo Vásquez Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Interspeech 2018, 2018, Page(s) 2349-2353
Publisher: ISCA
DOI: 10.21437/interspeech.2018-2295

Acoustic correlates of speech intelligibility: the usability of the eGeMAPS feature set for atypical speech

Author(s): Wei Xue, Catia Cucchiarini, Roeland van Hout, Helmer Strik
Published in: SLaTE 2019: 8th ISCA Workshop on Speech and Language Technology in Education, 2019, Page(s) 48-52
Publisher: ISCA
DOI: 10.21437/slate.2019-9

Speech differences between CI users with pre- and postlingual onset of deafness detected by speech processing methods on voiceless to voice transitions

Author(s): T Arias Vergara, S Gollwitzer, JR Orozco-Arroyave, JC Vasquez-Correa, E Nöth, C Högerle, M Schuster
Published in: Abstract- und Posterband – 90. Jahresversammlung der Deutschen Gesellschaft für HNO-Heilkunde, Kopf- und Hals-Chirurgie e.V., Bonn – Digitalisierung in der HNO-Heilkunde, 2019
Publisher: Georg Thieme Verlag KG
DOI: 10.1055/s-0039-1686328

Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data

Author(s): Philipp Klumpp, J.C. Vásquez-Correa, Tino Haderlein, Elmar Nöth
Published in: Interspeech 2019, 2019, Page(s) 3068-3072
Publisher: ISCA
DOI: 10.21437/interspeech.2019-2080

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

Author(s): J.C. Vásquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Interspeech 2019, 2019, Page(s) 549-553
Publisher: ISCA
DOI: 10.21437/interspeech.2019-1405

Feature Representation of Pathophysiology of Parkinsonian Dysarthria

Author(s): Alice Rueda, J.C. Vásquez-Correa, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nöth
Published in: Interspeech 2019, 2019, Page(s) 3048-3052
Publisher: ISCA
DOI: 10.21437/interspeech.2019-2490

Apkinson — A Mobile Monitoring Solution for Parkinson’s Disease

Author(s): Philipp Klumpp, Thomas Janu, Tomás Arias-Vergara, J.C. Vásquez-Correa, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Interspeech 2017, 2017, Page(s) 1839-1843
Publisher: ISCA
DOI: 10.21437/interspeech.2017-416

Automatic Diagnosis of Alzheimer’s Disease Using Neural Network Language Models

Author(s): Julian Fritsch, Sebastian Wankerl, Elmar Noth
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 5841-5845, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8682690

Automatic Hierarchical Attention Neural Network for Detecting AD

Author(s): Yilin Pan, Bahman Mirheidari, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen
Published in: Interspeech 2019, 2019, Page(s) 4105-4109
Publisher: ISCA
DOI: 10.21437/interspeech.2019-1799

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users

Author(s): T. Arias-Vergara, Juan Rafael Orozco-Arroyave, Milos Cernak, S. Gollwitzer, M. Schuster, Elmar Nöth
Published in: Interspeech 2019, 2019, Page(s) 3108-3112
Publisher: ISCA
DOI: 10.21437/interspeech.2019-2144

Attention-based convolutional neural networks for acoustic scene classification

Author(s): Z. Ren , Q. Kong, K. Qian, M. D. Plumbley, and B. W. Schuller
Published in: Detection and Classification of Acoustic Scenes and Events 2018, 2018
Publisher: DCASE 2018

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality

Author(s): Jing Han, Zixing Zhang, Zhao Ren, Bjorn Schuller
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 5861-5865, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8682773

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach

Author(s): Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto
Published in: Proceedings of the Third International Symposium on Image Computing and Digital Medicine - ISICDM 2019, 2019, Page(s) 71-75, ISBN 9781-450372626
Publisher: ACM Press
DOI: 10.1145/3364836.3364851

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks

Author(s): Z. Ren , N. Cummins, J. Han, S. Schnieder, J. Krajewski, and B. Schuller
Published in: Speech Communication; 13th ITG-Symposium, 2018, ISBN 978-3-8007-4767-2
Publisher: VDE

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

Author(s): Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
Published in: Proceedings of the 9th International Conference on Digital Public Health - DPH2019, 2019, Page(s) 79-83, ISBN 9781-450372084
Publisher: ACM Press
DOI: 10.1145/3357729.3357743

Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes

Author(s): Zhao Ren, Qiuqiang Kong, Jing Han, Mark D. Plumbley, Bjorn W. Schuller
Published in: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, Page(s) 56-60, ISBN 978-1-4799-8131-1
Publisher: IEEE
DOI: 10.1109/icassp.2019.8683434

Deep Sensing of Breathing Signal During Conversational Speech

Author(s): Venkata Srikanth Nallanthighal, Aki Härmä, Helmer Strik
Published in: Interspeech 2019, 2019, Page(s) 4110-4114
Publisher: ISCA
DOI: 10.21437/interspeech.2019-1796

Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices

Author(s): T. Arias-Vergara, J.C. Vasquez-Correa, J.R. Orozco-Arroyave, P. Klumpp, E. Noth
Published in: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Page(s) 6004-6008, ISBN 978-1-5386-4658-8
Publisher: IEEE
DOI: 10.1109/icassp.2018.8462332

Dysarthric Speech Recognition with Lattice-Free MMI

Author(s): Enno Hermann, Mathew Magimai.-Doss
Published in: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, Page(s) 6109-6113, ISBN 978-1-5090-6631-5
Publisher: IEEE
DOI: 10.1109/icassp40776.2020.9053549

Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features

Author(s): C.D. Rios-Urrego, J.C. Vásquez-Correa, J.F. Vargas-Bonilla, E. Nöth, F. Lopera, J.R. Orozco-Arroyave
Published in: Computer Methods and Programs in Biomedicine, 173, 2019, Page(s) 43-52, ISSN 0169-2607
Publisher: Elsevier BV
DOI: 10.1016/j.cmpb.2019.03.005

Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions

Author(s): T. Arias-Vergara, J.C. Vásquez-Correa, J.R. Orozco-Arroyave, E. Nöth
Published in: Speech Communication, 101, 2018, Page(s) 11-25, ISSN 0167-6393
Publisher: Elsevier BV
DOI: 10.1016/j.specom.2018.05.007

Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease

Author(s): J.C. Vásquez-Correa, J.R. Orozco-Arroyave, T. Bocklet, E. Nöth
Published in: Journal of Communication Disorders, 76, 2018, Page(s) 21-36, ISSN 0021-9924
Publisher: Elsevier BV
DOI: 10.1016/j.jcomdis.2018.08.002

Effects of oral and oropharyngeal cancer on speech intelligibility using acoustic analysis: Systematic review

Author(s): Mathieu Balaguer, Timothy Pommée, Jérôme Farinas, Julien Pinquier, Virginie Woisard, Renée Speyer
Published in: Head & Neck, 42/1, 2019, Page(s) 111-130, ISSN 1043-3074
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/hed.25949

Acoustic features to characterize sentence accent production in dysarthric speech

Author(s): Viviana Mendoza Ramos, Hector A. Kairuz Hernandez-Diaz, Maria E. Hernandez-Diaz Huici, Heidi Martens, Gwen Van Nuffelen, Marc De Bodt
Published in: Biomedical Signal Processing and Control, 57, 2020, Page(s) 101750, ISSN 1746-8094
Publisher: Elsevier BV
DOI: 10.1016/j.bspc.2019.101750

Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach

Author(s): Juan Camilo Vasquez-Correa, Tomas Arias-Vergara, J. R. Orozco-Arroyave, Bjorn Eskofier, Jochen Klucken, Elmar Noth
Published in: IEEE Journal of Biomedical and Health Informatics, 23/4, 2019, Page(s) 1618-1630, ISSN 2168-2194
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/JBHI.2018.2866873

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings

Author(s): Jing Han, Zixing Zhang, Zhao Ren, Bjoern W. Schuller
Published in: IEEE Transactions on Affective Computing, 2019, Page(s) 1-1, ISSN 1949-3045
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TAFFC.2019.2928297

Phonological i-Vectors to Detect Parkinson’s Disease

Author(s): N. Garcia-Ospina, T. Arias-Vergara, J. C. Vásquez-Correa, J. R. Orozco-Arroyave, M. Cernak, E. Nöth
Published in: Text, Speech, and Dialogue - 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings, 11107, 2018, Page(s) 462-470, ISBN 978-3-030-00793-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-00794-2_50

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks

Author(s): Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn Schuller
Published in: ITG-Fb. 282: Speech Communication, Konferenz: Speech Communication - 13. ITG-Fachtagung Sprachkommunikation 10.10.2018 - 12.10.2018 in Oldenburg, Deutschland, 2018, ISBN 978-3-8007-4767-2
Publisher: VDE-Verlag

Natural Language Analysis to Detect Parkinson’s Disease

Author(s): P. A. Pérez-Toro, J. C. Vásquez-Correa, M. Strauss, J. R. Orozco-Arroyave, E. Nöth
Published in: Text, Speech, and Dialogue - 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings, 11697, 2019, Page(s) 82-90, ISBN 978-3-030-27946-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-27947-9_7

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson’s Disease from Speech in Three Different Languages

Author(s): Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Cristian D. Rios-Urrego, Maria Schuster, Jan Rusz, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, 11896, 2019, Page(s) 697-706, ISBN 978-3-030-33903-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_66

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients

Author(s): Juan Camilo Vásquez-Correa, Cristian D. Rios-Urrego, Alice Rueda, Juan Rafael Orozco-Arroyave, Sri Krishnan, Elmar Nöth
Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, 11896, 2019, Page(s) 688-696, ISBN 978-3-030-33903-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_65

Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users

Author(s): T. Arias-Vergara, J. R. Orozco-Arroyave, S. Gollwitzer, M. Schuster, E. Nöth
Published in: Text, Speech, and Dialogue - 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings, 11697, 2019, Page(s) 299-306, ISBN 978-3-030-27946-2
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-27947-9_25

Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users

Author(s): Tomas Arias-Vergara, Juan Camilo Vasquez-Correa, Sandra Gollwitzer, Juan Rafael Orozco-Arroyave, Maria Schuster, Elmar Nöth
Published in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings, 11896, 2019, Page(s) 679-687, ISBN 978-3-030-33903-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-33904-3_64

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson’s Disease

Author(s): Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Milos Cernak, Elmar Nöth
Published in: Text, Speech, and Dialogue - 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings, 11107, 2018, Page(s) 453-461, ISBN 978-3-030-00793-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-00794-2_49

Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises

Author(s): L. Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II, 916, 2018, Page(s) 223-230, ISBN 978-3-030-00352-4
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-00353-1_20

A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson’s Disease

Author(s): Paula Andrea Pérez-Toro, Juan Camilo Vásquez-Correa, Tomas Arias-Vergara, Nicanor Garcia-Ospina, Juan Rafael Orozco-Arroyave, Elmar Nöth
Published in: Applied Computer Sciences in Engineering - 5th Workshop on Engineering Applications, WEA 2018, Medellín, Colombia, October 17-19, 2018, Proceedings, Part II, 916, 2018, Page(s) 268-278, ISBN 978-3-030-00352-4
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-00353-1_24

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