Juan Rafael Orozco-Arroyave
Dr.-Ing. Juan Rafael Orozco-Arroyave
Academic CV
- Since XX/YYY:
Researcher at ZZZ - Since XX/YYY:
Student at ZZZ
Projects
No projects found.
Publications
2024
Conference Contributions
LONGITUDINAL MODELING OF DEPRESSION SHIFTS USING SPEECH AND LANGUAGE
49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 (Seoul, KOR, April 14, 2024 - April 19, 2024)
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2024
DOI: 10.1109/ICASSP48485.2024.10447195
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2023
Authored Books
Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis
Springer Science and Business Media Deutschland GmbH, 2023
ISBN: 9783031404979
DOI: 10.1007/978-3-031-40498-6_30
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Journal Articles
Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals
In: Biomedical Signal Processing and Control 82 (2023), Article No.: 104533
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2022.104533
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Swallowing disorders analysis using surface EMG biomarkers and classification models
In: Digital Signal Processing 133 (2023), Article No.: 103815
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2022.103815
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Conference Contributions
Automatic Assessment of Alzheimer's across Three Languages Using Speech and Language Features
24th International Speech Communication Association, Interspeech 2023 (Dublin, IRL, August 20, 2023 - August 24, 2023)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023
DOI: 10.21437/Interspeech.2023-2079
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Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Rhodes Island, June 4, 2023 - June 10, 2023)
In: ICASSP 2023 2023
DOI: 10.1109/ICASSP49357.2023.10095219
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Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, COL, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230617
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Measuring Phonological Precision in Children with Cleft Lip and Palate
24th International Speech Communication Association, Interspeech 2023 (Dublin, August 20, 2023 - August 24, 2023)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023
DOI: 10.21437/Interspeech.2023-2099
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2022
Journal Articles
Detecting Parkinson’s disease and its cognitive phenotypes via automated semantic analyses of action stories
In: npj Parkinson’s Disease 8 (2022), Article No.: 163
ISSN: 2373-8057
DOI: 10.1038/s41531-022-00422-8
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Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet
In: Smart Health 26 (2022), Article No.: 100347
ISSN: 2352-6483
DOI: 10.1016/j.smhl.2022.100347
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Classical FE Analysis to Classify Parkinson’s Disease Patients
In: Electronics 11 (2022), Article No.: 3533
ISSN: 2079-9292
DOI: 10.3390/electronics11213533
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Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing
In: Speech Communication 145 (2022), p. 10-20
ISSN: 0167-6393
DOI: 10.1016/j.specom.2022.09.001
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Classification of Parkinson's Disease Patients-A Deep Learning Strategy
In: Electronics 11 (2022), Article No.: 2684
ISSN: 2079-9292
DOI: 10.3390/electronics11172684
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Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset
In: Frontiers in Neuroinformatics 16 (2022)
ISSN: 1662-5196
DOI: 10.3389/fninf.2022.877139
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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
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Classification of Poverty Condition Using Natural Language Processing
In: Social Indicators Research (2022)
ISSN: 0303-8300
DOI: 10.1007/s11205-022-02883-z
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Conference Contributions
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition
Interspeech (Seoul, September 18, 2022 - September 22, 2022)
In: Proceedings of Interspeech 2022 2022
DOI: 10.21437/Interspeech.2022-10674
URL: https://www.isca-speech.org/archive/interspeech_2022/hernandez22_interspeech.html
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Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022
DOI: 10.21437/Interspeech.2022-10883
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CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, KOR, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022
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Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets
9th Workshop on Engineering Applications (WEA) (Bogota)
In: APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2022, CHAM: 2022
DOI: 10.1007/978-3-031-20611-5_4
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End-to-End Parkinson’s Disease Detection Using a Deep Convolutional Recurrent Network
25th International Conference on Text, Speech, and Dialogue, TSD 2022 (Brno, 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_27
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2021
Journal Articles
Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia
In: Computer Methods and Programs in Biomedicine 208 (2021), Article No.: 106248
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2021.106248
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An algorithm for Parkinson's disease speech classification based on isolated words analysis
In: Health Information Science and Systems 9 (2021)
ISSN: 2047-2501
DOI: 10.1007/s13755-021-00162-8
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A machine learning perspective on the emotional content of Parkinsonian speech
In: Artificial Intelligence in Medicine 115 (2021), Article No.: 102061
ISSN: 0933-3657
DOI: 10.1016/j.artmed.2021.102061
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Conference Contributions
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
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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
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2020
Journal Articles
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
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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
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Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech
In: Biomedical Signal Processing and Control 61 (2020), Article No.: 102018
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2020.102018
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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
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Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech
In: Computer Speech and Language 59 (2020), p. 114-122
ISSN: 1095-8363
DOI: 10.1016/j.csl.2019.07.001
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Conference Contributions
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
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Electrophysiological and Mechanical Approaches to the Swallowing Analysis
7th Workshop on Engineering Applications, WEA 2020 (Bogota, October 7, 2020 - October 9, 2020)
In: Juan Carlos Figueroa-García, Fabián Steven Garay-Rairán, Germán Jairo Hernández-Pérez, Yesid Díaz-Gutierrez (ed.): Communications in Computer and Information Science 2020
DOI: 10.1007/978-3-030-61834-6_24
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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
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2019
Journal Articles
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
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Book Contributions
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
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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
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Conference Contributions
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
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Assessing Parkinson's disease from speech using fisher vectors
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.2019-2217
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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
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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
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Natural Language Analysis to Detect Parkinson's Disease
DOI: 10.1007/978-3-030-27947-9_7
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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
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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
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2018
Conference Contributions
Speaker verification system for online education platforms
52nd Annual IEEE International Carnahan Conference on Security Technology (ICCST) (Montreal, October 22, 2018 - October 25, 2018)
In: 2018 52ND ANNUAL IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST), NEW YORK: 2018
DOI: 10.1109/CCST.2018.8585602
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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
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2017
Authored Books
Phonation and articulation analyses in laryngeal pathologies, cleft lip and palate, and parkinson’s disease
Springer Verlag, 2017
ISBN: 9783319597720
DOI: 10.1007/978-3-319-59773-7_43
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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
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Conference Contributions
Convolutional neural network to model articulation impairments in patients with Parkinson's disease
18th Annual Conference of the International Speech Communication Association, INTERSPEECH 2017
DOI: 10.21437/Interspeech.2017-1078
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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
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2016
Conference Contributions
Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches
Text, Speech and Dialogue; 19th International Conference (TSD 2016) (Brno, Czech Republic)
In: Proc. Text, Speech and Dialogue; 19th International Conference, TSD 2016, Cham, Switzerland: 2016
DOI: 10.1007/978-3-319-45510-5
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Belalcazar-Bolanos16-GFP.pdf
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2015
Conference Contributions
Automatic Detection of Parkinson's Disease from Compressed Speech Recordings
18th International Conference on Text, Speech and Dialogue, TSD 2015
DOI: 10.1007/978-3-319-24033-6_10
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The INTERSPEECH 2015 computational paralinguistics challenge: Nativeness, Parkinson's & eating condition
16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015
URL: http://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959078348&origin=inward
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Visual comparison of speaker groups
16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015
URL: http://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84959117949&origin=inward
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Lectures
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