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Dr. Kai Siedenburg 

+49 (0)441 798-3579 

                            

Funding

null

Books

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

Journal Papers

K. Siedenburg, M. R. Schädler, D. Hülsmeier (2019). Modeling the onset advantage in musical instrument recognition. The Journal of the Acoustical Society of America, 146(6), EL523–EL529

 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 relevance of onset transients in musical instrument identificationThe Journal of 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--EL98

K. Siedenburg & S. McAdams (2018). Short-term recognition of timbre sequences: Musical training, pitch variability, and timbral similarity. Music Perception, 36(1), pp. 24-39

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

K. Siedenburg & D. Müllensiefen (2017). Modeling timbre similarity of short music clips. Frontiers in Psychology, 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 recognition of musical timbre. Memory, 25(4), 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, 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

K. Siedenburg, I. Fujinaga, S. McAdams (2016). A Comparison of Approaches to Timbre Descriptors in Music Information Retrieval and Music Psychology. Journal of New Music Research, 45(1), pp. 27–41

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

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

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 (2017). 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. Wein- zierl (Eds.), Musical Instruments in the 21st Century: Identities, Configurations, Practices (pp. 385-396). Heidelberg, Germany: Springer 

Conference Papers

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. Proc. of the 2016 ITG Conf. on Speech Communication, Paderborn, Germany, Oct 5–7, 2016

K. Siedenburg, M. Dörfler, M. Kowalski (2014). Audio Declipping with Social Sparsity. Proc. of the 2014 IEEE Int. Conf. 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. Proc. of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz NY, USA, Oct 20–23, 2013

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

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

K. Siedenburg & M. Dörfler (2011). Structured Sparsity for Audio Signals. Proc. of the 14th Int. Conf. on Digital Audio Effects, DAFx-11, Paris, France, Sep 2–9, 2011

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

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