Georgios (George) Sioros

Research

George's research interests revolve around music perception and analysis. He has worked extensively in the development of automatic rhythm generation and analysis algorithms and its applications in computational musicology, music information retrieval, and music production. Among his research, his generative model of rhythms and the study of the sensation of groove stand out. In his current research, he combines novel, advanced signal processing techniques for time series with statistics and bio-informatics to develop innovative methodologies for the quantitative analysis of a variety of digital signalssuch as audio and motion capture recordings, pupillometry measurements, as well as symbolic representations of music.

ProjectTIME: Timing and Sound in Musical Microrhythm
Musical rhythms often induce a pleasant desire to move or dance, a natural sway of our body and tap of our foot to the music that reflects and shape the way we listen to rhythms. George is using the (spontaneous) body movement to probe the interaction of sound features at the macro and micro level, such as syncopation, pickups, temporal shape and timbre, with the perception of rhythm.

Background

Georgios has published 25 articles in peer reviewed journals and international conferences. Before joining the University of Oslo, he was a member of the Sound and Music Computing Group of INESC-TEC in Porto from 2010 until 2017. In 2016, he obtained a PhD from the University of Porto in Digital Media. He holds a Bachelor's degree in Physics from the University of Ioannina and a Master's degree in Technological Applications from the Technical University of Athens. In parallel, he studied classical piano and music theory at the "Athens Orfio" Conservatory.

Tags: Music Perception, Rhythm & Meter Cognition, Entrainment, Groove, Syncopation, Music Information Retrieval, Music Theory, Music Related Body Movement, Performance Analysis, Automatic Music Generation, Algorithmic Composition, NIME, Signal Processing

Publications

►Sioros, G., Câmara, G. S., & Danielsen, A. (2019). Mapping Timing Strategies in Drum Performance. In 20th International Society for Music Information Retrieval Conference (ISMIR) (pp. 776–783). Delft, The Netherlands.
https://doi.org/10.5281/zenodo.3527926
 

►Sioros, G., Davies, M. E. P., & Guedes, C. (2018). A generative model for the characterization of musical rhythms. Journal of New Music Research, 47(2), 114–128.
https://doi.org/10.1080/09298215.2017.1409769
Abstract: We present a novel model for the characterization of musical rhythms that is based on the pervasive rhythmic phenomenon of syncopation. Syncopation is felt when the sensation of the regular beat or pulse in the music is momentarily disrupted; the feeling arises from breaking more expected patterns such as pickups (anacrusis) and faster events that introduce and bridge the notes articulated on the beats. Our model begins with a simple pattern that articulates a beat consistent with the metrical expectations of a listener. Any rhythm is then generated from a unique combination of transformations applied on that simple pattern. Each transformation introduces notes in off-beat positions as one of three basic characteristic elements: (1) syncopations, (2) pickup rhythmic figures and (3) faster notes that articulate a subdivision of the beat. The characterization of a pattern is based on an algorithm that discovers and reverses the transformations in a stepwise manner. We formalize the above transformations and present the characterization algorithm, and then demonstrate and discuss the model through the analysis of the main rhythmic pattern of the song ‘Don’t stop ‘till you get enough’ by Michael Jackson.

►Sioros G., Miron M., Davies M., Gouyon F., and Madison G. (2014), “Syncopation creates the sensation of groove in synthesized music examples,” Front. Psychol., vol. 5, p. 1036.
https://doi.org/10.3389/fpsyg.2014.01036 
Abstract: In order to better understand the musical properties which elicit an increased sensation of wanting to move when listening to music—groove—we investigate the effect of adding syncopation to simple piano melodies, under the hypothesis that syncopation is correlated to groove. Across two experiments we examine listeners' experience of groove to synthesized musical stimuli covering a range of syncopation levels and densities of musical events, according to formal rules implemented by a computer algorithm that shifts musical events from strong to weak metrical positions. Results indicate that moderate levels of syncopation lead to significantly higher groove ratings than melodies without any syncopation or with maximum possible syncopation. A comparison between the various transformations and the way they were rated shows that there is no simple relation between syncopation magnitude and groove.

  • Câmara, Guilherme Schmidt; Sioros, George & Danielsen, Anne (2022). Mapping Timing and Intensity Strategies in Drum-Kit Performance of a Simple Back-Beat Pattern. Journal of New Music Research. ISSN 0929-8215. doi: 10.1080/09298215.2022.2150649.
  • Spiech, Connor; Sioros, Georgios; Endestad, Tor; Danielsen, Anne & Laeng, Bruno (2022). Pupil drift rate indexes groove ratings. Scientific Reports. ISSN 2045-2322. 12(1). doi: 10.1038/s41598-022-15763-w.
  • Sioros, Georgios & Nymoen, Kristian (2021). Accurate shape and phase averaging of time series through Dynamic Time Warping. arXiv.
  • Sioros, George; Câmara, Guilherme Schmidt & Danielsen, Anne (2019). Mapping Timing Strategies in Drum Performance. In Flexer, Arthur; Peeters, Geoffroy; Urbano, Julián & Volk, Anja (Ed.), Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019. International Society for Music Information Retrieval. ISSN 9781732729919.
  • Kontogeorgakopoulos, Alexandros; Sioros, George & Klissouras, Odysseas (2019). Mechanical Entanglement: A Collaborative Haptic-Music Performance. In Barbancho, Isabel; Tardón, Lorenzo J.; Peinado, Alberto & Barbancho, Ana M. (Ed.), SMC 2019 Proceedings of the 16th Sound & Music Computing Conference. Society for Sound and Music Computing. ISSN 978-84-09-08518-7. p. 20–25.
  • Dahl, Sofia & Sioros, George (2018). Rhythmic recurrency in dance to music with ambiguous meter . In Volpe, Gualtiero & Camurri, Antonio (Ed.), Proceedings of the 5th International Conference on Movement and Computing. ACM Publications. ISSN 978-1-4503-6504-8. doi: 10.1145/3212721.3212885. Full text in Research Archive
  • Sioros, George; Davies, Matthew EP & Guedes, Carlos (2018). A generative model for the characterization of musical rhythms. Journal of New Music Research. ISSN 0929-8215. 47(2), p. 114–128. doi: 10.1080/09298215.2017.1409769.

View all works in Cristin

  • Spiech, Connor; Laeng, Bruno; Sioros, George; Danielsen, Anne & Endestad, Tor (2021). More Than Meter’s The Eye: Divergent Roles of Pickups and Syncopation in Groove.
  • Câmara, Guilherme Schmidt; Sioros, George & Danielsen, Anne (2021). Mapping timing and intensity strategies in drum-kit performance via hierarchical clustering and phylogenetic visualizations .
  • Sioros, George (2021). Groove, meter and syncopation: a cognitive perspective. .
  • Sioros, George (2020). Comparing the timing of repetitive human movements.
  • Sioros, George; Câmara, Guilherme Schmidt & Danielsen, Anne (2019). Mapping Timing Strategies in Drum Performance.
  • Sioros, George & Danielsen, Anne (2019). How do Rhythmic Features Affect our Movement?
  • Sioros, George; Câmara, Guilherme Schmidt; Danielsen, Anne & Nymoen, Kristian (2019). Timing and drummers’ movement: A novel methodology for performance analysis .
  • Sioros, George; Madison, Guy; Cocharro, Diogo; Danielsen, Anne & Gouyon, Fabien (2019). Does moderate syncopation increase groove? The answer depends on the syncopation pattern.
  • Sioros, George; Madison, Guy; Cocharro, Diogo; Danielsen, Anne & Gouyon, Fabien (2019). The relation between groove and syncopation is intricate – not any pattern will do.
  • Kontogeorgakopoulos, Alexandros; Sioros, George & Klissouras, Odysseas (2019). Mechanical Entanglement: A Collaborative Haptic-Music Performance.
  • Sioros, Georgios (2018). What we do when we move to music v.2.
  • Dahl, Sofia & Sioros, George (2018). Rhythmic recurrency in dance to music with ambiguous meter.
  • Sioros, George (2017). What we do when we move to music.

View all works in Cristin

Published Aug. 14, 2017 11:08 AM - Last modified Feb. 23, 2022 10:52 AM