Juan Camilo Vásquez-Correa

According to our database1, Juan Camilo Vásquez-Correa authored at least 40 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients.
CoRR, 2020

2019
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.
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

Natural Language Analysis to Detect Parkinson's Disease.
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


Feature Representation of Pathophysiology of Parkinsonian Dysarthria.
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

NeuroSpeech: An open-source software for Parkinson's speech analysis.
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

Phonological i-Vectors to Detect Parkinson's Disease.
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

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

Apkinson - A Mobile Monitoring Solution for Parkinson's Disease.
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

On the impact of non-modal phonation on phonological features.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Parkinson's Disease Progression Assessment from Speech Using GMM-UBM.
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

Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016

2015
Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech.
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


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