Research and Publications

In preparation & under revision & to appear

  • 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)
  • Záviška, P., Rajmic, P., Ozerov, A., Rencker, L.
    A survey and an extensive evaluation of popular audio declipping methods.
    Submitted to IEEE Journal of Selected Topics in Signal Processing, May 2020.
    [preprint] [software – Matlab & data (coming soon)]
  • Mokrý, O., Rajmic, P.
    Approximal operator with application to audio inpainting.
    Submitted to Elsevier Signal Processing, May 2020.
    [article on arXiv] [software – Matlab]
  • Mokrý, O., Rajmic, P., Záviška, P.
    Flexible framework for audio restoration.
    Accepted to 23rd International Conference on Digital Audio Effects DAFx 2020.
    [paper on arXiv] [software – Matlab]
  • Marafioti, A., Majdak, P., Holighaus, N. and Perraudin, N.
    GACELA – A generative adversarial context encoder for long audio inpainting.
    Submitted to IEEE JSTSP, Special Issue on Reconstruction of audio from incomplete or highly degraded observations.
  • Záviška, P., Rajmic, P.
    Sparse and Cosparse Audio Dequantization Using Convex Optimization.
    Accepted to 43rd International Conference on Telecommunications and Signal Processing (TSP).
    [PDF on arXiv] [software – Matlab]
  • Mokrý, O., Rajmic, P.
    Audio Inpainting: Revisited and Reweighted.
    In revision in IEEE TASLP, submitted in January 2020.
    [preprint on arXiv] [webpage with supplementary material]

Published papers and reports

  • 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.
  • 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.
  • 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
  • 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
  • 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
  • Průša, Z., Holighaus, N.
    Phase Vocoder Done Right.
    Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), pp. 1006–1010