Areas of interest

• Musical Signal Processing – Musical Feature Extraction – Music Piece Description
• Machine Learning – Pattern Recognition
• Text Classification/Clustering
• Non-Linear Control
• Functional – Harmonic Analysis

CV data

Aggelos Gkiokas has been working at the Institute for Language and Speech Processing / R.C. “Athena” since 2001. In the past, he worked at Natural Language and Knowledge Extraction Department and at the Quality Control Office. Since 2007 he has been working at Voice and Sound Technology Department.  He has participated in a number of R&D projects, services and products, e.g. "Tr-Aid" , "Information Retrieval System of ILSP / R.C Athena" ,"eClassify", "VEMUS".

He graduated from the School of Electrical and Computer Engineering – N.T.U.A (field of Electronics and Systems) in 2006. Since 2007 he is a PhD Student at the School of Electrical and Computer Engineering – N.T.U.A in the research field of Musical Signal Processing, High Level Musical Feature Extraction and Music Description. He also holds a postgraduate degree of “Applied Mathematical Sciences” at the School of Applied Mathematical and Physical Science – N.T.U.A. (field of Analysis).

Awards

Best performing algorithm submission in MIREX 2010 and 2011 for the Audio Tempo Estimation task.

• Kritsis, K., Gkiokas, A., Quentin Lamerand, Robert Piéchaud, Carlos Acosta, Maximos Kaliakatsos-Papakostas et al. (2018). Design and Interaction of 3D Virtual Music Instruments for STEAM Education Using Web Technologies. [...] 
• Athanasia Zlatintsi, Panagiotis P Filntisis, Christos Garoufis, Antigoni Tsiami, Kritsis, K., Kaliakatsos-Papakostas, M. et al. (2018). A Web-based Real-Time Kinect Application for Gestural Interaction with Virtual Musical Instruments. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, pages 12. [...] 
• Kaliakatsos-Papakostas, M., Gkiokas, A. & Katsouros, V. (2018). Interactive Control of Explicit Musical Features in Generative LSTM-based Systems. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, pages 29. [...] 
• Kritsis, K., Gkiokas, A., Maximos Kaliakatsos-Papakostas, Katsouros, V. & Pikrakis, A. (2018). Design and Interaction of 3D Virtual Music Instruments for STEAM Education Using Web Technologies. [...] 
• Kritsis, K., Gkiokas, A., Carlos Acosta, Quentin Lamerand, Robert Piéchaud, Maximos Kaliakatsos-Papakostas et al. (2018). A web-based 3D environment for gestural interaction with virtual music instruments as a STEAM education tool. [...] 
• Gkiokas, A. & Katsouros, V. (2017). Convolutional Neural Networks for Real-Time Beat Tracking: A Dancing Robot Application.. In ISMIR, pages 286-293. [...] 
• Gkiokas, A. (2016). Music Information Retrieval with Emphasis on Rhythm. Phd Thesis, School of Electrical and Computer Engineering, National Technical University of Athens. [...] 
• Ioannis Karydis, Gkiokas, A. & Katsouros, V. (2016). Musical track popularity mining dataset. In IFIP International Conference on Artificial Intelligence Applications and Innovations, pages 562-572. [...] 
• Gkiokas, A., Katsouros, V. & George Carayannis. (2016). Towards multi-purpose spectral rhythm features: An application to dance style, meter and tempo estimation. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 24(11), 1885-1896. [...] 
• Gkiokas, A., Lattner, S., Katsouros, V., Flexer, A. & Carayannis, G. (2015). Towards an Invertible Rhythm Representation. In Proceedings of the 18th International Conference on Digital Audio Effects (DAFX15). [...] 
• Gkiokas, A., Katsouros, V. & Carayannis, G. (2014). Deploying Deep Belief Nets for content based audio music similarity. In IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications, pages 180-185. [...] 
• Gkiokas, A., Katsouros, V. & Carayannis, G. (2014). Deploying Deep Belief Nets for content based audio music similarity. In The Fifth International Conference on Information, Intelligence, Systems and Applications ( IISA 2014 ). [...] 
• Vincent E., Gkiokas, A., Schnitzer, D. & Flexer A. (2014). An investigation of likelihood normalization for robust ASR. In Interspeech 2014. [...] 
• Gkiokas, A., Katsouros, V., Carayannis, G. & Stafylakis, T. (2012). Music Tempo Estimation and Beat Tracking by Applying Source Separation and Metrical Relations. In Proceedings of the 37th IEEE International Conference on Acoustics, Speech and Signal Processing. Kyoto, Japan. [...] 
• Gkiokas, A., Papavassiliou, V., Katsouros, V. & Carayannis, G. (2012). Deploying Nonlinear Image Filters to Spectrogram for Harmonic/Percussive Separation. In 15th International Conference on Digital Audio Effects. York, UK. [...] 
• Gkiokas, A., Katsouros, V. & Carayannis, G. (2012). Recuding Tempo Octave Errors by Periodicity Vector Coding and SVM Learning. In Proceedings of the 13th International Conference on Music Information Retrieval. Porto, Portugal. [...] 
• Gkiokas, A. (2010). Input-to-State Stability of Nonlinear Systems. Master Thesis. [...] 
• Gkiokas, A., Katsouros, V. & Carayannis, G. (2010). Tempo Induction Using Filterbank Analysis and Tonal Features. In Proceedings of the 11th International Conference on Music Information Retrieval. Utrecht, Netherlands. [...] 
• Gkiokas, A. (2008). Real-Time Detection and Visualization of Clarinet Bad Sounds. In Proceedings of the 11th Digital Audio Effects Conference (DAFX08). Espoo, Finland. [...] 
• Gkiokas, A., Demiros, I. & Piperidis, S. (2006). An Analysis of Linear Weight Updating Algorithms for Text Classification. In Proceedings of the 4th Hellenic Conference on Artificial Intelligence (SETN 06). Athens Greece. [...] 
• Papageorgiou, H., Antonopoulos, V., Demiros, I. & Gkiokas, A. (2006). Thematic Classification and Intelligent Indexing of Broadcast News Using Speech Recognition and Image Analysis. In Proceedings of the 4th European Interactive TV Conference (EuroITV 2006). Athens Greece. [...]