Julián D. Arias-Londoño

According to our database1, Julián D. Arias-Londoño authored at least 37 papers between 2008 and 2020.

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

Timeline

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Bibliography

2020
Multimodal and Multi-Output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale.
IEEE J. Sel. Top. Signal Process., 2020

2018
Protein Disorder Prediction using Jumping Motifs from Torsion Angles Dynamics in Ramachandran Plots.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

ByoVoz Automatic Voice Condition Analysis System for the 2018 FEMH Challenge.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
Protein Disorder Prediction using Information Theory Measures on the Distribution of the Dihedral Torsion Angles from Ramachandran Plots.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

Automatic Feature Selection in the SOPFs Dissolution Profiles Prediction Problem.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

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

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

Entropies from Markov Models as Complexity Measures of Embedded Attractors.
Entropy, 2015

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

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

A multi-class extension for multi-labeler support vector machines.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Nonlinear Dynamics for Hypernasality Detection in Spanish Vowels and Words.
Cogn. Comput., 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

Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines.
Proceedings of the Natural and Artificial Models in Computation and Biology, 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
Towards collaborative work among speech therapists, phoniatricians, and ENT professionals: Analysis of the impact of ciphering techniques in the performance of an integrated tool for the diagnosis of voice disorders.
Biomed. Signal Process. Control., 2012

Automatic detection of hypernasal speech signals using nonlinear and entropy measurements.
Proceedings of the INTERSPEECH 2012, 2012

Objective measurements to evaluate glottal space segmentation from laryngeal images.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Automatic Detection of Pathological Voices Using Complexity Measures, Noise Parameters, and Mel-Cepstral Coefficients.
IEEE Trans. Biomed. Engineering, 2011

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

Automatic GRBAS assessment using complexity measures and a multiclass GMM-based detector.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 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

2010
An improved method for voice pathology detection by means of a HMM-based feature space transformation.
Pattern Recognit., 2010

Dysphonia detection based on modulation spectral features and cepstral coefficients.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Dynamic Feature Extraction: an Application to Voice Pathology Detection.
Intelligent Automation & Soft Computing, 2009

Advanced preprocessing of larynx images to improve the segmentation of glottal area.
Proceedings of the Sixth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2009

2008
Effects of Audio Compression in Automatic Detection of Voice Pathologies.
IEEE Trans. Biomed. Engineering, 2008


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