Kai Siedenburg
Cited by
Cited by
Social sparsity! neighborhood systems enrich structured shrinkage operators
M Kowalski, K Siedenburg, M Dörfler
IEEE transactions on signal processing 61 (10), 2498-2511, 2013
A comparison of audio descriptors for timbre in music information retrieval and music psychology
K Siedenburg, I Fujinaga, S McAdams
Journal of New Music Research 45 (1), 27-41, 2016
Audio Declipping with Social Sparsity
K Siedenburg, M Dörfler, M Kowalski
Proceedings of the 2014 IEEE International Conference on Acoustics, Speech …, 2014
Four Distinctions for the Auditory “Wastebasket” of Timbre
K Siedenburg, S McAdams
Frontiers in Psychology 8, 1747, 2017
Structured sparsity for audio signals
K Siedenburg, M Dörfler
Proceeding of 14th conference on digital audio effects (DAFx), 2011
Acoustic and categorical dissimilarity of musical timbre: Evidence from asymmetries between acoustic and chimeric sounds
K Siedenburg, K Jones-Mollerup, S McAdams
Frontiers in Psychology 6 (1977), doi: 10.3389/fpsyg.2015.01977, 2016
Timbre: Acoustics, perception, and cognition
K Siedenburg, C Saitis, S McAdams, AN Popper, RR Fay
Springer, 2019
Persistent time-frequency shrinkage for audio denoising
K Siedenburg, M Dörfler
Journal of the Audio Engineering Society 61 (1/2), 29-38, 2013
Audio denoising by generalized time-frequency thresholding
K Siedenburg, M Dörfler
Audio Engineering Society Conference: 45th International Conference …, 2012
The role of long-term familiarity and attentional maintenance in short-term memory for timbre
K Siedenburg, S McAdams
Memory 25 (4), 550-564, 2017
Non-intrusive speech quality prediction using modulation energies and lstm-network
B Cauchi, K Siedenburg, JF Santos, TH Falk, S Doclo, S Goetze
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (7), 1151 …, 2019
Audio content descriptors of timbre
M Caetano, C Saitis, K Siedenburg
Timbre: Acoustics, perception, and cognition, 297-333, 2019
Audio inpainting with social sparsity
K Siedenburg, M Dörfler, M Kowalski
SPARS (Signal Processing with Adaptive Sparse Structured Representations) 2, 2013
Persistent empirical Wiener estimation with adaptive threshold selection for audio denoising
K Siedenburg
Proceedings of the 9th Sound and Music Computing Conference, 426-433, 2012
Brightness perception for musical instrument sounds: Relation to timbre dissimilarity and source-cause categories
C Saitis, K Siedenburg
The Journal of the Acoustical Society of America 148 (4), 2256-2266, 2020
The present, past, and future of timbre research
K Siedenburg, C Saitis, S McAdams
TIMBRE: acoustics, perception, and cognition, 1-19, 2019
An exploration of real-time visualizations of musical timbre
K Siedenburg
Welcome to the 3 rd International Workshop on Learning Semantics of Audio …, 2009
Short-term recognition of timbre sequences: Music training, pitch variability, and timbral similarity
K Siedenburg, S McAdams
Music Perception: An Interdisciplinary Journal 36 (1), 24-39, 2018
Specifying the perceptual relevance of onset transients for musical instrument identification
K Siedenburg
The journal of the Acoustical Society of America 145 (2), 1078-1087, 2019
Perception and cognition of musical timbre.
S McAdams, K Siedenburg
The MIT Press, 2019
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