Juan Camilo Vásquez-Correa
Orcid: 0000-0003-4946-9232
According to our database1,
Juan Camilo Vásquez-Correa
authored at least 73 papers
between 2014 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
Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions.
Multim. Tools Appl., January, 2024
2023
Novel Speech Recognition Systems Applied to Forensics within Child Exploitation: Wav2vec2.0 vs. Whisper.
Sensors, February, 2023
Multimodal Assessment of Parkinson's Disease Patients Using Information from Speech, Handwriting, and Gait (Multimodale Verarbeitung von Parkinson-Krankheit unter Verwendung von Informationen aus Sprache, Handschrift und Gang)
PhD thesis, 2023
User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care.
IEEE Trans. Affect. Comput., 2023
Fostering Trustworthiness of Federated Learning Ecosystem through Realistic Scenarios.
Inf., 2023
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
2022
Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing.
Speech Commun., 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
Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 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
One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots.
CoRR, 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
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
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
Assessing the Dysarthria Level of Parkinson's Disease Patients with GMM-UBM Supervectors Using Phonological Posteriors and Diadochokinetic Exercises.
Proceedings of the Text, Speech, and Dialogue, 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
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
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
Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data.
Proceedings of the Interspeech 2019, 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
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
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions.
Speech Commun., 2018
Digit. Signal Process., 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
Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
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
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 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
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.
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
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