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Juan Camilo Vasquez Correa, M. Sc.

  • Job title: Researcher
  • Organization: Department of Computer Science
  • Working group: Chair of Computer Science 5 (Pattern Recognition)
  • Phone number: +49 9131 85 27137
  • Fax number: +49 9131 85 27270
  • Email: juan.vasquez@fau.de
  • Website:
  • Address:
    Martensstr. 3
    91058 Erlangen
    Germany
    Room 10.158
  • Office hours: Daily Mon, Tue, Wed, Thu, Fri, 09:00 - 19:00, Room 10.158,

  • Since 04/2018:
    Researcher at Pattern Recognition Lab, Friedrich Alexander University-Erlangen-Nuremberg
  • Since 08/2016:
    Lecturer at Department of Electronics and Telecommunications Engineering, Uni-
    versity of Antioquia, Colombia.
  • 04/2016-09/2016:
    Software developer at Department of Electronics and Telecommunications Engineering, Uni-
    versity of Antioquia, Colombia.
  • 06/2016 – 08/2016
    Visiting researcher, Center for Language and Speech Processing | Johns Hopkins University, Baltimore, U.S.A
  • 11/2015 – 03/2016
    Intern researcher, Telefónica research, Barcelona Spain.

2018

  • Modelling the progression of neurological diseases

    (Third Party Funds Group – Sub project)

    Overall project: Training Network on Automatic Processing of PAthological Speech
    Term: since May 1, 2018
    Funding source: Innovative Training Networks (ITN)

    Develop speech technology that can allow unobtrusive monitoring of many kinds of neurological diseases. The state of a patient can degrade slowly between medical check-ups. We want to track the state of a patient unobtrusively without the feeling of constant supervision. At the same time the privacy of the patient has to be respected. We will concentrate on PD and thus on acoustic cues of changes. The algorithms should run on a smartphone, track acoustic changes during regular phone conversations over time and thus have to be low-resource. No speech recognition will be used and only some analysis parameters of the conversation are stored on the phone and transferred to the server.

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/

    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

Journal Articles

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2019

Journal Articles

Book Contributions

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2018

Journal Articles

Book Contributions

Conference Contributions

2017

Authored Books

Journal Articles

Conference Contributions

2016

Conference Contributions