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Journal Articles

 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 (early access)

K. Siedenburg (2019). Specifying the perceptual relevance of onset transients for musical instrument identification. The Journal of the Acoustical Society of America, 145(2), 1078–1087

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), EL93

K. Siedenburg & S. McAdams (2018). Short-term Recognition of Timbre Sequences: Music Training, Pitch Variability, and Timbral Similarity. Music Perception, 36(1), pp. 24-39

K. Siedenburg & S. McAdams (2017). Four distinctions for the auditory ‘wastebasket’ of timbre. Frontiers in Psychology (Auditory Cognitive Neuroscience), doi: 10.3389/fpsyg.2017.01747

K. Siedenburg & D. Müllensiefen (2017). Modeling timbre similarity of short music clips. Frontiers in Psychology (Section Cognition), 8:639, doi: 10.3389/fpsyg.2017.00639

K. Siedenburg & S. McAdams (2017). The role of long-term familiarity and attentional maintenance in short-term memory for timbre. Memory, 25(4), pp. 550-564

K. Siedenburg, S. Mativetsky, S. McAdams (2016). Auditory and verbal memory in North Indian tabla drumming. Psychomusicology: Music, Mind, and Brain, 26(4), pp. 327–336

K. Siedenburg, I. Fujinaga, S. McAdams (2016). A Comparison of Approaches to Timbre Descriptors in Music Information Retrieval and Music PsychologyJournal of New Music Research, 45, pp. 27–41

K. Siedenburg, K. Jones-Mollerup, S. McAdams (2016). Acoustic and categorical dissimilarity of musical timbre: Evidence from asymmetries between acoustic and chimeric sounds. Frontiers in Psychology, 6:1977, doi: 10.3389/fpsyg.2015.01977.

M. Kowalski, K. Siedenburg, M. Dörfler (2013). Social Sparsity! Neighborhood Structures Enrich Structured Shrinkage OperatorsIEEE Transactions on Signal Processing, 61(10), pp. 2498-2511

K. Siedenburg & M. Dörfler (2013). Persistent Time-Frequency Shrinkage for Audio DenoisingJournal of the Audio Engineering Society, No. 61 (1/2)


Edited Volumes

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


Book Chapters

K. Siedenburg & D. Müllensiefen (2019). Memory for timbre. In K. Siedenburg, C. Saitis, S. McAdams, A. Popper, R. Fay, Timbre: Acoustics, Perception, and Cognition (Springer Handbook of Auditory Research Series). New York, NY: Springer

M. Caetano, C. Saitis, K. Siedenburg (2019). Audio Content Descriptors for Timbre. In K. Sieden- burg, C. Saitis, S. McAdams, A. Popper, R. Fay, Timbre: Acoustics, Perception, and Cognition (Springer Handbook of Auditory Research Series). New York, NY: Springer

K. Siedenburg, C. Saitis, S. McAdams (2019). The Present, Past, and Future of Timbre Research. In K. Siedenburg, C. Saitis, S. McAdams, A. Popper, R. Fay, Timbre: Acoustics, Perception, and Cognition (Springer Handbook of Auditory Research Series). New York, NY: Springer

S. McAdams & K. Siedenburg (2019). Perception and cognition of musical timbre. In P. J. Rentfrow & D. J. Levitin (Eds.), Foundations of Music Psychology: Theory and Research. Cambridge, MA: MIT Press

K. Siedenburg (2016). Instruments unheard of: On the role of familiarity and sound source categories in timbre perception. In T. Bovermann, A. de Campo, H. Egermann, S. Indriyati-Hardjowirogo, and S. Weinzierl (Eds.), Musical Instruments in the 21st Century: Identities, Configurations, Practices (pp. 385-396). Springer


Conference Proceedings (full-length peer reviewed)

K. Siedenburg & S. Doclo (2017). Iterative structured shrinkage algorithms for stationary/transient audio separation. 20th International Conference on Digital Audio Effects (DAFx-17), Edinburgh, UK, Sep 5–8, 2017 [Best Paper Award (1st Prize)]

B. Cauchi, J. F. Santos, K. Siedenburg, T. H. Falk, P. A. Naylor, S. Doclo and S. Goetze (2016). Predicting the quality of processed speech by combining modulation based features and model-trees. Proceedings of the 2016 ITG Conference on Speech Communication, Paderborn, Germany, Oct 5–7 2016

K. Siedenburg, M. Dörfler, M. Kowalski (2014). Audio Declipping with Social Sparsity. Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 4–8 2014

K. Siedenburg & P. Depalle (2013). Modulation Filtering for Structured Time-Frequency Estimation of Audio Signals. Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz NY, USA, October 20–23 2013

K. Siedenburg (2012). Persistent Empirical Wiener Estimation with Adaptive Threshold Selection for Audio Denoising. Proceedings of the 9th Sound and Music Computing Conference, Copenhagen, Denmark, July 11–14 2012

K. Siedenburg & M. Dörfler (2012). Audio Denoising by Generalized Time-Frequency Thresholding. Proceedings of the AES 45th Conference on Applications of Time-Frequency Processing in Audio, Helsinki, Finland, March 1–3 2012

K. Siedenburg & M. Dörfler (2011). Structured Sparsity for Audio Signals. Proceedings of the 14th International Conference on Digital Audio Effects, DAFx-11, Paris, France, Septem- ber 2–9 2011

K. Siedenburg (2009). An Exploration of Real-Time Visualizations of Musical Timbre. Proceedings of the 3rd International Workshop on Learning Semantics of Audio Signals, Graz, Austria, December 1 2009



K. Siedenburg: “Perspectives on Memory for Musical Timbre”. Doctoral thesis. Music Technology Area, Department for Music Research, Schulich School of Music, McGill University, Dec 2015

K. Siedenburg: “Structured Sparsity in Time-Frequency Analysis”. Masters thesis (Diplomarbeit). Humboldt University Berlin, October 2011