Juan Rafael Orozco-Arroyave

According to our database1, Juan Rafael Orozco-Arroyave authored at least 82 papers between 2011 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech.
Comput. Speech Lang., 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

Characterization of the Handwriting Skills as a Biomarker for Parkinson Disease.
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

Natural Language Analysis to Detect Parkinson's Disease.
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


Feature Representation of Pathophysiology of Parkinsonian Dysarthria.
Proceedings of the Interspeech 2019, 2019

Assessing Parkinson's Disease from Speech Using Fisher Vectors.
Proceedings of the Interspeech 2019, 2019

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users.
Proceedings of the Interspeech 2019, 2019

Characterization of the Handwriting Skills as a Biomarker for Parkinson's Disease.
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

Articulation Analysis in the Speech of Children with Cleft Lip and Palate.
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

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

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

Speaker Verification System for Online Education Platforms.
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

Unsupervised Morphological Segmentation for Detecting Parkinson's Disease.
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

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

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

2016
Analysis of speech of people with Parkinson's disease.
PhD thesis, 2016

Degree of Parkinson's disease severity estimation based on speech signal processing.
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

Automatic Detection of Parkinson's Disease Based on Modulated Vowels.
Proceedings of the Interspeech 2016, 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
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

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 Compressed Speech Recordings.
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015

Automatic Detection of Parkinson's Disease in Reverberant Environments.
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015

Visual comparison of speaker groups.
Proceedings of the INTERSPEECH 2015, 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

The parkinson's condition sub-challenge: the data.
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
Nonlinear dynamics characterization of emotional speech.
Neurocomputing, 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

Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words.
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

Analysis of Speech from People with Parkinson's Disease through Nonlinear Dynamics.
Proceedings of the Advances in Nonlinear Speech Processing - 6th International Conference, 2013

Perceptual Analysis of Speech Signals from People with Parkinson's Disease.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson's Disease.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013

2012
Voice pathology detection in continuous speech using nonlinear dynamics.
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
Application of Nonlinear Dynamics Characterization to Emotional Speech.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Nonlinear Dynamics for Hypernasality Detection.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Automatic Detection of Hypernasality in Children.
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


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