Computer Vision, Speech Communication &

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Christos Garoufis

Personal Photo
Christos Garoufis
PhD Student
Office: 2.2.19
Phone: (+30) 210772-2964
Fax: (+30) 210772-3397
E-mail: cgaroufis@hotmail
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I was born in Athens in 1993, and spent my teenage years at Ioannina. I received my diploma degree in Electrical and Computer Engineering from the National Technical University of Athens in March 2018. My master thesis, supervised by Prof. Petros Maragos, involved music composition through gestural interaction, by taking advantage of a Kinect sensor and recognizing gestures from skeletal data.

Since October 2018, I have been pursuing my PhD degree as a member of the Computer Vision, Speech Communication and Signal Processing Group in the National Technical University of Athens, under the supervision of Prof. Petros Maragos. My research interests lie in the broad area of audio signal processing, with focus on music source separation and interpretable representation learning for music and audio signals.

In my spare time, I enjoy hiking/travelling, playing board/computer games and discovering new music, while procrastinating on taking guitar lessons.

Journal Publications

  • K. Kritsis, C. Garoufis, A. Zlatintsi, M. Bouillon, C. Acosta, D. Martin-Albo, R. Piechaud, P. Maragos, and V. Katsouros,
    iMuSciCA Workbench: Web-based Music Activities For Science Education,
    Journal of the Audio Engineering Society} (JAES), Vol. 68, Issue 10, pp. 738-746, October 2020.

Conference Publications

  • C. Garoufis ,A. Zlatintsi, P. P. Filntisis, N. Efthymiou, E. Kalisperakis, V. Garyfalli, T. Karantinos, L. Mantonakis, N. Smyrnis and P. Maragos,
    An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis,
    to appear in Proc. IEEE-EMBS Int’l Conf. on Biomedical and Health Informatics (BHI’21) Jointly Organized with the 17th IEEE-EMBS Int’l Conf. on Wearable and Implantable Body Sensor Networks (BSN’21)(BHI-BSN–21), 2021.

  • C. Garoufis, A. Zlatintsi, and P. Maragos,
    HTMD-Net: A Hybrid Masking-Denoising Approach toTime-Domain Monaural Singing Voice Separation,
    to appear inProc. 29th European Signal Processing Conf.,(EUSIPCO–21), 2021.

  • K. Avramidis, A. Zlatintsi, C. Garoufis, and P. Maragos,
    Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition,
    to appear inProc. 29th European Signal Processing Conf.,(EUSIPCO–21), 2021.

  • K. Avramidis, A. Kratimenos, C. Garoufis, A. Zlatintsi, and P. Maragos,
    Deep Convolutional and RecurrentNetworks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms,
    in Proc.IEEE Int’l Conf. on Acoustics, Speech and Signal Processing, (ICASSP–21).

  • K. Avramidis, A. Zlatintsi, C. Garoufis, and P. Maragos,
    Multiscale Fractal Analysis of Stimulated EEGSignals with Application to Emotion Classification,
    in arXiv:2010.16310v1 [cs.LG], 30 Oct 2020.

  • A. Kratimenos, K. Avramidis, C. Garoufis, A. Zlatintsi, and P. Maragos,
    Augmentation Methods OnMonophonic Audio For Instrument Classification In Polyphonic Music,
    inProc.28th European SignalProcessing Conf., (EUSIPCO–20), Amsterdam, Holland, Jan. 2020.

  • C. Garoufis, A. Zlatintsi and P. Maragos,
    An LSTM-based Dynamic Chord Progression Generation System for Interactive Music Performance,
    in Proc. 45th IEEE Int'l Conf. on Acoustics, Speech and Signal Processing (ICASSP-2020), May 2020.

    C. Garoufis, A. Zlatintsi, K. Kritsis, P.P. Filntisis, V. Katsouros, and P. Maragos, An Environment for Gestural Interaction with 3D Virual Musical Instruments as an Educational Tool,
    in Proc. 27th European Conf.(EUSIPCO-19), A Coruna, Spain, Sep. 2019.

  • A. Zlatintsi, P.P. Filntisis, C. Garoufis, A. Tsiami, K. Kritsis, M.A. Kaliakatsos-Papakostas, A. Gkiokas, V. Katsouros, and P. Maragos
    A Web-based Real-Time Kinect Application for Gestural Interaction with Virtual Musical Instruments, in Proc. Audio Mostly Conference (AM'18), Wrexham, North Wales, UK, Sep. 2018.

  • C. Garoufis, A. Zlatintsi and P. Maragos
    A Collaborative System for Composing Music via Motion Using a Kinect Sensor and Skeletal Data,
    in Proc. Sound and Music Computing Conference (SMC-2018), Limassol, Cyprus, 4-7 July, 2018.
    [pdf] [poster]

Diploma Thesis

  • C. Garoufis,


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Last modified: Friday, 25 September 2020 | Created by Nassos Katsamanis and George Papandreou