Machine Learning - Deep Learning





Study to measure the level of Communication and information technologies (TICs) in the public Health Services institutions of Colombia

Automatic detection of voiced onset time (VOT) for assessment of pathological speech

Analysis of architectures based on deep learning methods to evaluate and recognize traits in speech signals

Human emotions detection considering speech signals is a field that has attracted the attention of the research community since the …

Asynchronous Non-Intrusive Multi-Modal Analysis of Bio-Signals for the Automatic evaluation of the Neurological State of People With …

Training Network on Automatic Processing of PAthological Speech

Analysis of the discriminant capacity of phonation, articulation and prosody features from patients with Parkinson’s disease on …

Recent Publications


Currently I am teaching the following courses at University of Antioquia:

  • Digital Signal processing Link

I have supervised the following bachelor and master thesis at University of Antioquia and Friedrich Alexander University.

Bachelor in Computer science, Friedrich Alexander Universität (FAU), 2020.

Ingeniería electrónica, Universidad de Antioquia, 2019

Master in medical engineering, Friedrich Alexander Universität (FAU), 2019.

Ingeniería en telecomunicaciones, Universidad de Antioquia, 2018


a Mobile Solution for Multimodal Assessment of Patients with Parkinson’s Disease

Python framework to extract features from speech

Toolkit to asses speech impairments in patients with neurological disorders

a Keras Python Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech


  • Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Lehrstuhl für Informatik 5 (Mustererkennung) Martensstr. 3, Of 10.158 91058 Erlangen Germany
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