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Tomas Arias Vergara, M. Sc.

  • Organization: Lehrstuhl für Informatik 5 (Mustererkennung)
  • Phone number: +49 9131 85 27137
  • Fax number: +49 9131 85 27270
  • Email: tomas.arias@fau.de
  • Address:
    Room 10.158

I received the B.S. degree in Electronics Engineering from University of Antioquia (Medellin, Colombia) in 2014, and the Master of Science degree at the same institution in 2017. Currently I am a PhD student at University of Antioquia (Colombia) and at Friedrich Alexander University Erlangen-Nuremberg (Germany) in a joint degree program. Additionally, I’m a guest researcher in the Department of Otorhinolaryngology, Head and Neck Surgery from the Ludwig-Maximilians-Universität in Munich (Germany). Also, I love Schnitzel.

  • Since May/2018:
    Researcher at Ludwig-Maximilians University, Munich, Germany
  • Since May/2018:
    Marie Curie Research Fellow at Training Network on Automatic Processing of PAthological Speech – TAPAS
  • Since May/2018:
    PhD Candidate at Friedrich-Alexander University, Erlangen-Nuernberg, Germany
  • Since Jan/2017:
    PhD Candidate at University of Antioquia, Medellin, Colombia

2017

  • Training Network on Automatic Processing of PAthological Speech

    (Third Party Funds Group – Overall project)

    Term: November 1, 2017 - October 31, 2021
    Funding source: Innovative Training Networks (ITN)
    URL: https://www.tapas-etn-eu.org/
    Abstract

    There are an increasing number of people across Europe with debilitating speech pathologies (e.g., due to stroke, Parkinson's, etc). These groups face communication problems that can lead to social exclusion. They are now being further marginalised by a new wave of speech technology that is increasingly woven into everyday life but which is not robust to atypical speech. TAPAS is a Horizon 2020 Marie Skłodowska-Curie Actions Innovative Training Network European Training Network (MSCA-ITN-ETN) project that aims to transform the well being of these people.
    The TAPAS work programme targets three key research problems:
    (a) Detection: We will develop speech processing techniques for early detection of conditions that impact on speech production. The outcomes will be cheap and non-invasive diagnostic tools that provide early warning of the onset of progressive conditions such as Alzheimer's and Parkinson's.
    (b) Therapy: We will use newly-emerging speech processing techniques to produce automated speech therapy tools. These tools will make therapy more accessible and more individually targeted. Better therapy can increase the chances of recovering intelligible speech after traumatic events such a stroke or oral surgery.
    (c) Assisted Living: We will re-design current speech technology so that it works well for people with speech impairments and also helps in making informed clinical choices. People with speech impairments often have other co-occurring conditions making them reliant on carers. Speech-driven tools for assisted-living are a way to allow such people to live more independently.
    TAPAS adopts an inter-disciplinary and multi-sectorial approach. The consortium includes clinical practitioners, academic researchers and industrial partners, with expertise spanning speech engineering, linguistics and clinical science. All members have expertise in some element of pathological speech. This rich network will train a new generation of 15 researchers, equipping them with the skills and resources necessary for lasting success.

2020

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2019

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2018

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2017

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2016

Conference Contributions