Juan Rafael Orozco-Arroyave
Orcid: 0000-0002-8507-0782
According to our database1,
Juan Rafael Orozco-Arroyave
authored at least 141 papers
between 2011 and 2024.
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Bibliography
2024
Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions.
Comput. Speech Lang., April, 2024
Exploring digital speech biomarkers of hypokinetic dysarthria in a multilingual cohort.
Biomed. Signal Process. Control., February, 2024
Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions.
Multim. Tools Appl., January, 2024
Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach.
npj Digit. Medicine, 2024
2023
Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators.
Sensors, April, 2023
Analysis of electrophysiological and mechanical dimensions of swallowing by non-invasive biosignals.
Biomed. Signal Process. Control., April, 2023
Swallowing disorders analysis using surface EMG biomarkers and classification models.
Digit. Signal Process., March, 2023
User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care.
IEEE Trans. Affect. Comput., 2023
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages.
CoRR, 2023
Automatic Pronunciation Assessment of Non-native English Based on Phonological Analysis.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023
Assessment of Handwriting in Patients With Parkinson's Disease Using Non-Intrusive Tasks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer's Disease Using Forestnets.
Proceedings of the IEEE International Conference on Acoustics, 2023
Vision Transformer for Parkinson's Disease Classification using Multilingual Sustained Vowel Recordings.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing.
Speech Commun., 2022
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset.
Frontiers Neuroinformatics, 2022
Classification of emotions and evaluation of customer satisfaction from speech in real world acoustic environments.
Digit. Signal Process., 2022
Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia.
Comput. Speech Lang., 2022
Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices.
CoRR, 2022
Comparison of Named Entity Recognition Methods on Real-World and Highly Imbalanced Business Document Datasets.
Proceedings of the Applied Computer Sciences in Engineering, 2022
Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies.
Proceedings of the Applied Computer Sciences in Engineering, 2022
End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network.
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss.
Proceedings of the Interspeech 2022, 2022
Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings.
Proceedings of the Interspeech 2022, 2022
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition.
Proceedings of the Interspeech 2022, 2022
Shifted Delta Cepstral Coefficients with RNN to Improve the Detection of Parkinson's Disease from the Speech.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022
2021
Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages.
Pattern Recognit. Lett., 2021
Multi-channel spectrograms for speech processing applications using deep learning methods.
Pattern Anal. Appl., 2021
An algorithm for Parkinson's disease speech classification based on isolated words analysis.
Health Inf. Sci. Syst., 2021
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction.
Comput. Speech Lang., 2021
Machine learning based analysis of speech dimensions in functional oropharyngeal dysphagia.
Comput. Methods Programs Biomed., 2021
Artif. Intell. Medicine, 2021
Proceedings of the Applied Computer Sciences in Engineering, 2021
Proceedings of the Applied Computer Sciences in Engineering, 2021
Automatic Classification of Energy Consumption Profiles in Processes of the Oil & Gas Industry in Colombia.
Proceedings of the Applied Computer Sciences in Engineering, 2021
Proceedings of the Applied Computer Sciences in Engineering, 2021
Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification?
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021
On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data.
Proceedings of the IEEE International Conference on Acoustics, 2021
Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease.
Proceedings of the IEEE International Conference on Acoustics, 2021
Improving Parkinson Detection Using Dynamic Features From Evoked Expressions in Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Colombian Dialect Recognition Based on Information Extracted from Speech and Text Signals.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
Parallel Representation Learning for the Classification of Pathological Speech: Studies on Parkinson's Disease and Cleft Lip and Palate.
Speech Commun., 2020
Automatic detection of Voice Onset Time in voiceless plosives using gated recurrent units.
Digit. Signal Process., 2020
Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech.
Comput. Speech Lang., 2020
CoRR, 2020
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech.
Biomed. Signal Process. Control., 2020
Proceedings of the Applied Computer Sciences in Engineering, 2020
Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing.
Proceedings of the Text, Speech, and Dialogue, 2020
Acoustic Characteristics of VOT in Plosive Consonants Produced by Parkinson's Patients.
Proceedings of the Text, Speech, and Dialogue, 2020
Dependency Analysis of Spoken Language for Assessment of Neurological Disorders.
Proceedings of the 3rd RaPID Workshop: Resources and Processing of Linguistic, 2020
Proceedings of the Interspeech 2020, 2020
Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
CoRR, 2019
Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.
Comput. Methods Programs Biomed., 2019
Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019
Consonant-to-Vowel/Vowel-to-Consonant Transitions to Analyze the Speech of Cochlear Implant Users.
Proceedings of the Text, Speech, and Dialogue - 22nd International Conference, 2019
Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech.
Proceedings of the Interspeech 2019, 2019
Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019
Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2018
Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions.
Speech Commun., 2018
Digit. Signal Process., 2018
Analysis of speaker recognition methodologies and the influence of kinetic changes to automatically detect Parkinson's Disease.
Appl. Soft Comput., 2018
A Non-linear Dynamics Approach to Classify Gait Signals of Patients with Parkinson's Disease.
Proceedings of the Applied Computer Sciences in Engineering, 2018
Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises.
Proceedings of the Applied Computer Sciences in Engineering, 2018
Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease.
Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018
Proceedings of the Text, Speech, and Dialogue - 21st International Conference, 2018
A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease.
Proceedings of the Interspeech 2018, 2018
Proceedings of the Interspeech 2018, 2018
Proceedings of the 2018 International Carnahan Conference on Security Technology, 2018
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Study of the Automatic Detection of Parkison's Disease Based on Speaker Recognition Technologies and Allophonic Distillation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Detection of different voice diseases based on the nonlinear characterization of speech signals.
Expert Syst. Appl., 2017
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features.
Comput. Speech Lang., 2017
Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech.
Cogn. Comput., 2017
Speaker Model to Monitor the Neurological State and the Dysarthria Level of Patients with Parkinson's Disease.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017
Language Independent Assessment of Motor Impairments of Patients with Parkinson's Disease Using i-Vectors.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017
Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application.
Proceedings of the Text, Speech, and Dialogue - 20th International Conference, 2017
Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Convolutional Neural Network to Model Articulation Impairments in Patients with Parkinson's Disease.
Proceedings of the Interspeech 2017, 2017
Proceedings of the Interspeech 2017, 2017
Evaluation of the Neurological State of People with Parkinson's Disease Using i-Vectors.
Proceedings of the Interspeech 2017, 2017
Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech.
Proceedings of the Recent Advances in Nonlinear Speech Processing, 2016
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016
Glottal Flow Patterns Analyses for Parkinson's Disease Detection: Acoustic and Nonlinear Approaches.
Proceedings of the Text, Speech, and Dialogue - 19th International Conference, 2016
Proceedings of the Interspeech 2016, 2016
Proceedings of the Interspeech 2016, 2016
Towards an automatic monitoring of the neurological state of Parkinson's patients from speech.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Wavelet-Based Time-Frequency Representations for Automatic Recognition of Emotions from Speech.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016
Proceedings of the 12th ITG Symposium on Speech Communication, 2016
2015
Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases.
IEEE J. Biomed. Health Informatics, 2015
Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words.
Expert Syst. J. Knowl. Eng., 2015
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Low-frequency components analysis in running speech for the automatic detection of parkinson's disease.
Proceedings of the INTERSPEECH 2015, 2015
Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.
Proceedings of the INTERSPEECH 2015, 2015
The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition.
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the INTERSPEECH 2015, 2015
Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease.
Proceedings of the INTERSPEECH 2015, 2015
Emotion recognition from speech under environmental noise conditions using wavelet decomposition.
Proceedings of the International Carnahan Conference on Security Technology, 2015
2014
Phonation and Articulation Analysis of Spanish Vowels for Automatic Detection of Parkinson's Disease.
Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014
New Spanish speech corpus database for the analysis of people suffering from Parkinson's disease.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014
Automatic detection of parkinson's disease from words uttered in three different languages.
Proceedings of the INTERSPEECH 2014, 2014
Evaluation of wavelet measures on automatic detection of emotion in noisy and telephony speech signals.
Proceedings of the International Carnahan Conference on Security Technology, 2014
Semi-Automatic Calibration for Dereverberation by Spectral Subtraction for Continuous Speech Recognition.
Proceedings of the 11th ITG Symposium on Speech Communication, 2014
2013
Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech.
Cogn. Comput., 2013
Cogn. Comput., 2013
Automatic Detection of Laryngeal Pathologies in Running Speech Based on the HMM Transformation of the Nonlinear Dynamics.
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
2012
Proceedings of the 11th International Conference on Information Science, 2012
Automatic detection of hypernasal speech signals using nonlinear and entropy measurements.
Proceedings of the INTERSPEECH 2012, 2012
2011
Proceedings of the Advances in Nonlinear Speech Processing, 2011
Proceedings of the Advances in Nonlinear Speech Processing, 2011
Proceedings of the New Challenges on Bioinspired Applications, 2011
Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection.
Proceedings of the INTERSPEECH 2011, 2011