Senior Research Associate
Mathematics and Signal Processing in Acoustics
Machine Learning

Tel. +43 1 51581-2532
Email: nicki.holighaus(at)

Scientific IDs:
ORCID: 0000-0003-3837-2865
Google Scholar: Nicki Holighaus


Academic Background

Nicki Holighaus studied mathematics and theoretical computer sciences at Justus–Liebig–University, Gießen, Germany. He graduated in 2010. After three years of doctoral studies at the University of Vienna, Austria, where he worked as a research assistant at the Numerical Harmonic Analysis Group (NuHAG), he successfully defended his PhD thesis "Theory and implementation of adaptive time-frequency transforms” in October 2013.

Since August 2012 he is part of the Acoustic Research Institute's workgroup "Mathematics and Signal Processing in Acoustics", where he works on theoretical and applied aspects of frames and adapted time-frequency representations. 

Current Research

His research focuses on advanced time-frequency methods in signal processing, including time-frequency analysis, the mathematical theory and design of adaptive and adapted time-frequency representations, time-frequency processing in acoustics and the use of time-frequency representations in machine learning for acoustics.  

Current research projects: MERLIN

Current topics:

  • Theory and application of warped time-frequency representations 
  • Function spaces and discretization for structured continuous frames
  • Structure of time-frequency phase
  • Signal processing with time-frequency phase
  • Deep learning with time-frequency features
  • Neural audio generation
  • Audio inpainting with generative neural networks
  • Time-frequency processing and perception



  • Holighaus N.; Voigtlaender F. (2021) Schur-type Banach modules of integral kernels acting on mixed-norm Lebesgue spaces. Journal of Functional Analysis.
  • Průša Z.; Holighaus N.; Balazs P. (2021) Fast Matching Pursuit with Multi-Gabor Dictionaries. Transactions on Mathematical Software, Bd. 47, S. 1-20.
  • Haider D.; Holighaus N.; Balazs P. (2021) Phase-Based Signal Representations for Scattering. European Signal Processing Conference (EUSIPCO21).
  • Haider D.; Balazs P.; Holighaus N.; Gutscher L. (2021) Zeit-Frequenz Darstellungen und Deep Learning. DAGA 2021, Jahrestagung für Akustik. Vienna.
  • Marafioti A.; Holighaus N.; Majdak P. (2021) Time-Frequency Phase Retrieval for Audio - The Effect of Transform Parameters. .
  • Rajbamshi S.; Tauböck G.; Holighaus N.; Balazs P. (2021) Audio Inpainting via L1-Minimization and Dictionary Learning. European Signal Processing Conference (EUSIPCO 2021).
  • Marafioti A.; Holighaus N.; Majdak P.; Perraudin N. (2019) Audio inpainting of music by means of neural networks. 146th Convention of the Audio Engineering Society. Dublin.
  • Holighaus N.; Koliander G.; Pr uša Z.; Abreu L. D. (2019) Characterization of Analytic Wavelet Transforms and a New Phaseless Reconstruction Algorithm. IEEE Transactions on Signal Processing, Bd. 67, S. 3894-3908.
  • Holighaus N.; Koliander G.; Pr uša Z.; Abreu L. D. (2019) Non-iterative phaseless reconstruction from wavelet transform magnitude. Proceedings of the DAFx19.
  • Marafioti A.; Perraudin N.; Holighaus N.; Majdak P. (2019) Adversarial Generation of Time-Frequency Features with application in audio synthesis. Proceedings of the 36th International Conference on Machine LearningProceedings of Machine Learning Research (K. Chaudhuri and Salakhutdinov, R., eds.). PMLR, Long Beach, California, USA Bd. 97 S. 4352-4362.
  • Marafioti A.; Perraudin N.; Holighaus N.; Majdak P. (2019) A context encoder for audio inpainting. . Bd. 27 Issue 12 S. 2362 - 2372.
  • Rajbamshi S.; Balazs P.; Holighaus N. (2019) Adhoc method to Invert the Reassigned Time-Frequency Representation. Proceedings of the 23rd International Congress on Acoustics. S. 2789 - 2796.
  • Necciari T; Balazs P.; Pr uša Z.; Majdak P.; Derrien O. (2018) Audlet Filter Banks: A Versatile Analysis/Synthesis Framework using Auditory Frequency Scales. Applied Sciences, Bd. 8, S. 96-117.
  • Perraudin N.; Holighaus N.; Majdak P.; Balazs P. (2018) Inpainting of Long Audio Segments with Similarity Graphs. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Bd. 26, S. 1079-1090.
  • Perraudin N.; Holighaus N.; Sondergaard P. L.; Balazs P. (2018) Designing Gabor windows using convex optimization. Applied Mathematics and Computation, Bd. 330, S. 266 - 287.
  • Holighaus N.; Wiesmeyr C.; Balazs P. (2018) Continuous warped time-frequency representations - Coorbit spaces and discretization. Applied and Computational Harmonic Analysis.
  • Balazs P.; Holighaus N.; Necciari T.; Stoeva D. T. (2017) Frame Theory for Signal Prcoessing in Psychoacoustics. In: Excursions in Harmonic Analysis Vol. 5. The February Fourier Talks at the Norbert Wiener Center.. Springer, Basel S. 225-268.
  • Pruša Z.; Holighaus N. (2017) Real-Time Audio Visualization With Reassigned Non-uniform Filter Banks. in Proceeding of the 19th International Conference on Digital Audio Effects, DAFx-16. Brno S. 42950.
  • Pruša Z.; Holighaus N. (2017) Phase Vocoder Done Right. Proceedings of 25th European Signal Processing Conference (EUSIPCO-2017). Kos S. 1006-1010.
  • Pruša Z.; Holighaus N. (2017) Non-iterative Filter Bank Phase (Re)Construction. Proceedings of the 25th European Signal Processing Conference (EUSIPCO-2017),. Kos S. 952-956.