Christos Garoufis 2026-07-30T16:52:44+00:00
  • Τel: 210772-2420, 2964

  • cgaroufis@hotmail.gr
  • Office: 2.2.19, Old ECE Building

Biography

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.

I am currently a PhD candidate in the Computer Vision, Speech Communication and Signal Processing Group in the National Technical University of Athens, under the supervision of Prof. Petros Maragos. My PhD thesis concerns how we can use music source separation (decomposing a musical piece into its consistuent vocal or instrumental sources) for representation learning of music signals, useful for general-purpose music classification tasks. During the course of my thesis, I also got involved in nationally- and EU- funded research projects covering the broad area of developing and applying appropriate machine learning methods for speech and music signals, and have (co-)authored more than 20 publications in peer-reviewed conferences and journals.

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

Teaching & Courses

Publications

2026

C. Garoufis, A. Zlatintsi, P. Maragos

CVSM: Contrastive Vocal Similarity Modeling Journal Article

IEEE Transactions on Audio, Speech and Language Processing, 34 , pp. 2724-2737, 2026.

BibTeX | Links: [PDF]

D. N. Makropoulos, C. Garoufis, A. Tsiami, P. P. Filntisis, P. Maragos

Representation-Diverse Self-Supervision for Cross-Domain Bioacoustic Learning in Low-Resource Settings Conference

Proc. IEEE Int’l Conference on Acoustics, Speech, and Signal Processing (ICASSP 2026), Barcelona, Spain, 2026.

BibTeX | Links: [PDF]

2025

K. Fotopoulos, C. Garoufis, P. Maragos

Sparse Hybrid Linear-Morphological Networks Conference

Proc. 33rd European Signal Processing Conf.(EUSIPCO 2025), Palermo, Italy, 2025.

BibTeX | Links: [PDF]

A. Androni, C. Garoufis, A. Zlatintsi, P. Maragos

Feature-Level Multimodal Fusion for Relapse Detection in Patients with Psychosis Conference

Proc. 25th Int'l Conf. on Digital Signal Processing (DSP 2025), Costa Navarino, Greece, 2025.

BibTeX | Links: [PDF]

2024

A Zlatintsi, P P Filntisis, N Efthymiou, C Garoufis, G Retsinas, T Sounapoglou, I Maglogiannis, P Tsanakas, N Smyrnis, P Maragos

Person Identification and Relapse Detection from Continuous Recordings of Biosignals Challenge: Overview and Results Journal Article

IEEE Open Journal of Signal Processing, 2024.

BibTeX | Links: [PDF]

C Garoufis, A Zlatintsi, P Maragos

Pre-Training Music Classification Models via Music Source Separation Conference

Proc. 32nd European Signal Processing Conference (EUSIPCO 2024), Lyon, France, 2024.

BibTeX | Links: [PDF]

2023

C Garoufis, A Zlatintsi, P Maragos

Multi-Source Contrastive Learning from Musical Audio Conference

Proc. 20th Sound and Music Computing Conference (SMC 2023), Stockholm, Sweden, 2023.

BibTeX | Links: [PDF] [Poster] [Slides]

E Fekas, A Zlatintsi, P P Filntisis, C Garoufis, N Efthymiou, P Maragos

Relapse Prediction from Long-Term Wearable Data using Self-Supervised Learning and Survival Analysis Conference

Proc. 48th Int'l Conf. on Acoustics, Speech, and Signal Processing (ICASSP-2023), Rhodes Island, 2023.

BibTeX | Links: [PDF] [Slides]

D Charitou, C Garoufis, A Zlatintsi, P Maragos

Exploring Polyphonic Accompaniment Generation using Generative Adversarial Networks Conference

Proc. 20th Sound and Music Computing Conference (SMC 2023), Stockholm, Sweden, 2023.

BibTeX | Links: [PDF] [Slides] [Poster]

2022

A Zlatintsi, P P Filntisis, C Garoufis, N Efthymiou, P Maragos, A Manychtas, I Maglogiannis, P Tsanakas, T Sounapoglou, E Kalisperakis, T Karantinos, M Lazaridi, V Garyfali, A Mantas, L Mantonakis, N Smyrnis

e-Prevention: Advanced Support System for Monitoring and Relapse Prevention in Patients with Psychotic Disorders Analysing Long-Term Multimodal Data from Wearables and Video Captures Journal Article

Sensors, 22 (19), pp. 7544, 2022.

BibTeX | Links: [PDF]

C Garoufis, A Zlatintsi, P P Filntisis, N Efthymiou, E Kalisperakis, T Karantinos, V Garyfalli, M Lazaridi, N Smyrnis, P Maragos

Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders Conference

Proc. 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022.

BibTeX | Links: [PDF] [Slides]

P Papantonakis, C Garoufis, P Maragos

Multi-band Masking for Waveform-based Singing Voice Separation Conference

Proc. 30th European Signal Processing Conference (EUSIPCO), Belgrade, Serbia, 2022.

BibTeX | Links: [PDF] [Poster]

K Avramidis, C Garoufis, A Zlatintsi, P Maragos

Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and Latent Domain Adaptation Conference

Proc. 47th IEEE Int’l Conf. on Acoustics, Speech and Signal Processing (ICASSP-2022), 2022.

BibTeX | Links: [PDF] [Poster]

2021

K. Avramidis, A. Zlatintsi, C. Garoufis,, P. Maragos

Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition Conference

Proc. 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 2021.

BibTeX | Links: [Slides] [PDF]

C. Garoufis, A. Zlatintsi,, P. Maragos

HTMD-NET: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation Conference

Proc. 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 2021.

BibTeX | Links: [Slides] [PDF]

C. Garoufis, A. Zlatintsi, P. P. Filntisis, N. Efthymiou, E. Kalisperakis, V. Garyfalli, T. Karantinos, L. Mantonakis, N. Smyrnis, P. Maragos

An Unsupervised Learning Approach for Detecting Relapses from Spontaneous Speech in Patients with Psychosis Conference

Proc. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI-2021), 2021.

BibTeX | Links: [PDF] [Poster]

Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos

Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms Conference

Proc. 46th IEEE Int'l Conf. Acoustics, Speech and Signal Processing (ICASSP-2021), Toronto, 2021.

BibTeX | Links: [PDF] [Slides] [Video] [Poster]

2020

K Kritsis, C Garoufis, A Zlatintsi, M Bouillon, C Acosta, D Martín-Albo, R Piechaud, P Maragos, V Katsouros

iMuSciCA Workbench: Web-based Music Activities For Science Education Journal Article

Journal of the Audio Engineering Society, 68 (10), pp. 738-746, 2020.

BibTeX | Links: [PDF]

C Garoufis, A Zlatintsi, P Maragos

An LSTM-Based Dynamic Chord Progression Generation System for Interactive Music Performance Conference

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.

BibTeX | Links: [PDF]

2019

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 Conference

Proc. 27th European Conf.(EUSIPCO-19), A Coruna, Spain, 2019.

BibTeX | Links: [PDF]

2018

A. Zlatintsi, P.P. Filntisis, C. Garoufis, A. Tsiami, K. Kritsis, M.A. Kaliakatsos-Papakostas, A. Gkiokas, V. Katsouros, P. Maragos

A Web-based Real-Time Kinect Application for Gestural Interaction with Virtual Musical Instruments Conference

Proc. of Audio Mostly Conference (AM’18), Wrexham, North Wales, UK, 2018.

BibTeX | Links: [PDF]

C. Garoufis, A. Zlatintsi, P. Maragos

A Collaborative System for Composing Music via Motion Using a Kinect Sensor and Skeletal Data Conference

Proc. 15th International Sound & Music Computing Conference (SMC-2018), Limmesol, Cyprus, 2018.

Abstract | BibTeX | Links: [PDF]