In preparation & under revision & to appear
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Průša, Z., Holighaus, N., Balazs, P.
Accelerating matching pursuit for multiple time-frequency dictionaries.
Submitted to DAFx 2020 -
Holighaus, N., Voigtlaender, F.
Schur-type Banach modules of integral kernels acting on mixed-norm Lebesgue spaces.
Submitted to Mathematische Zeitschrift (2020) -
Průša, Z., Holighaus, N., Balazs, P.
Fast Matching Pursuit with Multi-Gabor Dictionaries
Submitted to ACM Transactions on Mathematical Software (2020)
Published papers and reports
- Záviška, P., Rajmic, P., Ozerov, A., Rencker, L.
A survey and an extensive evaluation of popular audio declipping methods.
IEEE Journal of Selected Topics in Signal Processing, Vol. 15, No. 1, 2021.
[preprint on arXiv] [paper in IEEE Explore] [supplementary webpage – Matlab implementation, data & listening] - Marafioti, A., Majdak, P., Holighaus, N. and Perraudin, N.
GACELA: A generative adversarial context encoder for long audio inpainting of music.
IEEE Journal of Selected Topics in Signal Processing, Vol. 15, No. 1, 2021
[arXiv] [IEEE Explore] - Mokrý, O., Rajmic, P.
Approximal operator with application to audio inpainting.
Signal Processing, Elsevier, 2020. DOI 10.1016/j.sigpro.2020.107807
[open access article] [software – Matlab] - Mokrý, O., Rajmic, P., Záviška, P.
Flexible framework for audio restoration.
In Proceedings of the 23rd International Conference on Digital Audio Effects (DAFx) 2020.
[final paper] [software – Matlab] - Záviška, P., Rajmic, P.
Sparse and Cosparse Audio Dequantization Using Convex Optimization.
In Proceedings of the 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020.
[PDF on arXiv] [video presentation] [software – Matlab] - Mokrý, O., Rajmic, P.
Audio Inpainting: Revisited and Reweighted.
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2020. DOI 10.1109/TASLP.2020.3030486
[preprint on arXiv] [webpage with supplementary material] - Holighaus, N., Koliander, G., Průša, Z., Abreu L. D.
Non-iterative phaseless reconstruction from wavelet transform magnitude.
In Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19), Birmingham, UK, September 2–6, 2019.
[paper] - Holighaus, N., Wiesmeyr, C., Průša, Z.
A Class of Warped Filter Bank Frames Tailored to Non-linear Frequency Scales.
J Fourier Anal Appl 26, 22, 2020.
https://doi.org/10.1007/s00041-020-09726-w - Marafioti, A., Perraudin, N., Holighaus, N., Majdak, P.
A context encoder for audio inpainting.
IEEE/ACM Trans. Audio, Speech and Language Proc.
[preprint on arXiv] - Rajmic, P., Záviška, P., Veselý, V., Mokrý, O.
A New Generalized Projection and Its Application to Acceleration of Audio Declipping.
Axioms, vol. 8, no. 3, article no. 105, MDPI 2019. DOI 10.3390/axioms8030105
[open access article] [software – Matlab] - Mokrý, O., Záviška, P., Rajmic, P., Veselý, V.
Introducing SPAIN (SParse Audion INpainter).
In 27th European Signal Processing Conference (EUSIPCO), pp. 666–670. September 2–6, 2019. ISBN: 978-9-0827-9702-2.
[PDF on arXiv] [software – Matlab] - Marafioti, A., Perraudin, N., Holighaus, N., Majdak, P.
Adversarial Generation of Time-Frequency Features with Application in Audio Synthesis.
In Proceedings of the 36th International Conference on Machine Learning, LA, USA, PMLR 97:4352-4362, 2019.
[link to article and code] - Záviška, P., Rajmic, P., Schimmel, J.
Psychoacoustically motivated audio declipping based on weighted l1 minimization.
In Proceedings of the 42nd International Conference on Telecommunications and Signal Processing (TSP). Budapest, Hungary: IEEE, 2019. p. 338–342. ISBN: 978-1-7281-1864-2.
[preprint PDF] -
Holighaus, N., Koliander, G., Průša, Z., Abreu, L. D.
Characterization of Analytic Wavelet Transforms and a New Phaseless Reconstruction Algorithm.In IEEE Transactions on Signal Processing, vol. 67, no. 15, pp. 3894–3908, Aug 1, 2019.
doi: 10.1109/TSP.2019.2920611
[IEEE Explore] [Preprint] - Mokrý, O., Rajmic, P.
Reweighted l1 minimization for audio inpainting.
Presented at the SPARS workshop, July 2019.
[final abstract – PDF] - Záviška, P., Rajmic, P., Mokrý, O., Průša, Z.
A Proper version of Synthesis-based Sparse Audio Declipper.
ICASSP 2019, May 2019, Brighton, UK. DOI 10.1109/ICASSP.2019.8682348
[PDF on arXiv] [software – Matlab] - Marafioti, A., Holighaus, N., Majdak, P., Perraudin, N.
Audio inpainting of music by means of neural networks.
146th AES Convention 2019, March 20–23, Dublin, Ireland
[link] - Záviška, P., Mokrý, O., Rajmic, P.
S-SPADE Done Right: Detailed Study of the Sparse Audio Declipper Algorithms.
Technical report, September 2018.
[PDF on arXiv] - Záviška, P., Rajmic, P., Průša, Z., Veselý, V.
Revisiting synthesis model in Sparse Audio Declipper.
International conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018), Guildford, United Kingdom, July 2018.
[Preprint] [software – Matlab (including audio samples)] - Perraudin, N., Holighaus, N., Majdak, P., Balazs, P.
Inpainting of Long Audio Segments With Similarity Graphs.
IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 26, No. 6, June 2018.
IEEE open access - Necciari, T., Holighaus, N., Balazs, P., Průša, Z., Majdak, P., Derrien O.
Audlet Filter Banks: A Versatile Analysis/Synthesis Framework using Auditory Frequency Scales
Applied Sciences, Special Issue on Sound and Music Computing, 8(1), 96. MDPI Basel, 2018. doi:10.3390/app8010096
paper - Rajmic, P., Koldovský, Z., Daňková, M.
Fast reconstruction of sparse relative impulse responses via second-order cone programming.
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017), New Paltz, NY, USA, October 2017.
[Preprint (final version, IEEE copyright applies)] [software – Matlab] - Průša, Z., Rajmic, P.
Toward High-Quality Real-Time Signal Reconstruction From STFT Magnitude.
IEEE Signal Processing Letters, vol. 24, no. 6, pp. 892–896, June 2017.
DOI: 10.1109/LSP.2017.2696970
[Paper (open access)] [webpage with supplementary material] - Průša, Z., Holighaus, N.
Non-iterative Filter Bank Phase (Re)Construction.
Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), pp. 952–956
webpage - Průša, Z., Holighaus, N.
Phase Vocoder Done Right.
Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), pp. 1006–1010
webpage