Kai Siedenburg

Audiology and Music Psychology
Year 2022

Carl von Ossietzky Universität Oldenburg

Dept. für medizinische Physik und Akustik

Küpkersweg 74
26129 Oldenburg

Portrait of Kai Siedenburg. He has short, dark blond hair and a beard. He wears glasses and a blue shirt.
Photo: Peter Himsel

Research areas

  • Music perception and cognition

  • Auditory scene analysis

  • Hearing impairment

  • Music signal processing

Resume

  • since 02/2020
    Principal investigator, Music Perception and Processing Lab and Freigeist Fellow at the Carl von Ossietzky University of Oldenburg

  • 01/2016–01/2020
    Postdoctoral fellow, Signal Processing Group (Prof. Simon Doclo) at the Carl von Ossietzky University of Oldenburg

  • 09/2012–05/2016
    PhD in Music Technology at McGill University, Montreal, Canada
    Specialization: Music perception and cognition

  • 09/2012–09/2015
    Research assistant, Music Perception and Cognition Lab (Prof. Stephen McAdams) at McGill University, Montreal, Canada

  • 02/2012–07/2012
    Research associate, Intelligent Music Processing Group (Prof. Gerhard Widmer) at the Austrian Research Institute for Artificial Intelligence, Vienna, Austria

  • 10/2009–04/2011
    Research assistant, Audio Communication Group (Prof. Stefan Weinzierl) at the Technical University Berlin

  • 06/2009–08/2009
    Research assistant, Center for New Music and Audio Technologies (Prof. David Wessel) at the University of California at Berkeley, USA

  • 09/2008–08/2009
    Fulbright visiting student in Music and Mathematics

  • 10/2005–01/2012
    MSc (Diplom) in Mathematics (major) and Musicology (minor) at the Humboldt University Berlin

  • 09/2004–09/2005
    Studies in Jazz-Piano, Berlin

Selection of
publications

  • K. Siedenburg (2022)

    Beyond (the cave of) loudness/pitch-equalization: A commentary on Reymore (2021).

    Empirical Musicology Review, in press

  • M. Bürgel, L. Picinali, K. Siedenburg (2021)

    Listening in the mix: Vocals robustly attract auditory attention in popular music.

    Frontiers in Psychology, doi: 10.3389/fpsyg.2021.769663

  • K. Siedenburg, F. M. Barg, H. Schepker (2021)

    Adaptative auditory brightness perception.

    Scientific Reports, 11(21456), https://doi.org/10.1038/s41598-021-00707-7

  • K. Siedenburg, S. Jacobsen, C. Reuter (2021)

    Spectral envelope position and shape in sustained instrument sounds.

    The Journal of the Acoustical Society of America, 149(6), 3715–3727, https://doi.org/10.1121/10.0005088

  • M. Touizrar, A.L. Knoll, K. Siedenburg (2021)

    Repetition and aesthetic judgment in post-tonal music for ensemble and large orchestra.

    Frontiers in Psychology, https://doi.org/10.3389/fpsyg.2021.673706

  • K. Siedenburg, K. Goldmann, S. van de Par (2021)

    Tracking musical voices in Bach’s The Art of the Fugue: Timbral heterogeneity differentially affects younger normal-hearing listeners and older hearing-aid users.

    Frontiers in Psychology, 12(608684), https://doi.org/10.3389/fpsyg.2021.608684

  • C. Saitis & K. Siedenburg (2020).

    Brightness perception for musical instrument sounds: relation to timbre dissimilarity and source-cause categories.

    The Journal of the Acoustical Society of America, 148(4), 2256-2266, https://doi.org/10.1121/10.0002275

  • K. Siedenburg (2020)

    Die Farbe macht die Musik: Akustische und perzeptuelle Grundlagen der Klangfarbenwahrnehmung.

    Akustik Journal. 3/20, 27–39

  • K. Siedenburg, S. Röttges, K. C. Wagener, V. Hohmann (2020).

    Can you hear out the melody? Testing musical scene perception in young normal-hearing and older hearing-impaired listeners.

    Trends in Hearing, 24, 1–15, https://doi.org/10.1177/2331216520945826

  • K. Siedenburg, C. Saitis, S. McAdams, A. Popper, R. Fay (2019)

    Timbre: Acoustics, Perception, and Cognition

    Springer Handbook of Auditory Research Series, New York, NY: Springer, https://doi.org/10.1007/978-3-030-14832-4

  • K. Siedenburg, M.R. Schädler, D. Hülsmeier (2019)

    Modeling the onset advantage in musical instrument identification.

    The Journal of the Acoustical Society of America, 146(6), EL523–EL529, https://doi.org/10.1121/1.5141369

  • B. Cauchi, K. Siedenburg, J. F. Santos, T. H. Falk, S. Doclo, S. Goetze (2019)

    Non-intrusive speech quality prediction using modulation energies and LSTM-network.

    IEEE Transactions on Audio, Speech, and Language Processing, 27(7), 1151–1163, https://doi.org/10.1109/TASLP.2019.2912123

  • K. Siedenburg (2019).

    Specifying the relevance of onset transients in musical instrument identification.

    The Journal of the Acoustical Society of America, 145(2), 1078–1087, https://doi.org/10.1121/1.5091778

  • K. Siedenburg (2018)

    Timbral Shepard-illusion reveals perceptual ambiguity and context sensitivity of brightness perception.

    The Journal of the Acoustical Society of America, 143(2), EL-00691, https://doi.org/10.1121/1.5022983

  • K. Siedenburg & S. McAdams (2018)

    Short-term recognition of timbre sequences: Musical training, pitch variability, and timbral similarity.

    Music Perception, 36(6), 24–39, https://doi.org/10.1525/mp.2018.36.1.24

Activities