MERLIN is a joint project between the Acoustics Research Institute of the Austrian Academy of Sciences (ARI) and the Signal Processing Laboratory at Brno University of Technology (SPLab). At ARI, the project is led by Dr. Nicki Holighaus. At SPLab, the local project lead is Dr. Pavel Rajmic. The project’s success relies on the project partners’ complementary expertise in TF analysis, signal processing, implementation and human auditory perception, reinforced by external collaborators.
Team at ARI
Nicki Holighaus received his PhD degree in mathematics at the University of Vienna in 2013, where he also held a research position in the Numerical Harmonic Analysis Group (NuHAG). Since August 2012 he works as a researcher at the Acoustic Research Institute (ARI), Austrian Academy of Sciences, Vienna. His research interests include the theory, design and application of structured frames, in particular generalized shift-invariant frames, as well as signal processing and, more recently, deep learning, for audio.
Andrés Marafioti studied Sound Engineering at the National University of Tres de Febrero (UNTREF) in his hometown, Buenos Aires, Argentina. He then spent two years developing software for Farolatino, the leading music multiplatform network in Latin America. Recently he started to pursue his PhD in music computing at the KUG and works for the Acoustics Research Institute in Vienna, Austria.
Zdeněk Průša studied telecommunication and information technology at the Brno University of Technology, Czech Republic and received the Ph.D. degree in 2012. Since then he has been working as a researcher at the Acoustic Research Institute (ARI), Austrian Academy of Sciences, Vienna. He is interested in time-frequency analysis, signal processing and in developing audio processing algorithms capable of running in the real-time setting. He is the maintainer of an open-source project the Large Time Frequency Toolbox, http://ltfat.github.io.
Post-doctoral researcher. His academic background includes a Master of Research degree in Signal Processing from the Toulon-Var University, France, and a PhD in Acoustics from the Aix-Marseille
University, France. His research interests connect two areas of his expertise, time-frequency representations and auditory masking. He is interested in the development of new signal processing techniques for the perceptual analysis, transformation, and synthesis of sounds.
Team at SPLab
Pavel Rajmic has finished his Ph.D. studies in signal processing in 2004 and since then he has been employed at the Faculty of Electrical Engineering and Communication, Brno University of Technology. As a member of the team SPLab, his interests include signal processing, applied and computational mathematics, frame theory and applications, sparse signal modelling and compressed sensing.
Pavel Záviška graduated from the master’s degree program in telecommunications and information technology at the Faculty of Electrical Engineering and Telecommunications, BUT, in 2017.
He is currently studying a doctoral program at the same institution.
His current work is focused on audio signal processing with the use of sparse representations of signals, and time-frequency analysis in audio signal restoration.
Ondřej Mokrý is a student of master’s programme Mathematical Engineering at Faculty of Mechanical Engineering at BUT. His bachelor thesis, under the supervision of Dr. Pavel Rajmic, was focused on the problem of inpainting missing samples in an audio signal using sparse representations. In 2017, he became the member of SPLab. He is interested in sparsity-based restoration of signals.
Marie Mangová graduated from the master’s degree program in Mathematical Engineering at the Faculty of Mechanical Engineering, BUT. Since 2014 she is pursuing doctoral studies at the Faculty of Electrical Engineering and Communication at the same university. She focuses on applications of sparse regularization, especially audio restoration and using compressed sensing in magnetic resonance imaging.
Jiří Schimmel received his PhD degree at Brno University of Technology in 2006 and since then he has been employed at the Faculty of Electrical Engineering and Communication, BUT. As a member of the team SPLab, his interests include acoustics, psychoacoustics, auditory models and audio signal processing.
Nancy Bertin received her Ph.D. degree in image and signal processing from Télécom ParisTech in 2009. She joined the National Center for Scientific Research (CNRS) as a permanent researcher in 2010. At the moment she takes part in the PANAMA project, focusing in particular on sound source separation and localization, inverse problems in acoustics, sparse and cosparse representations, compressed sensing of acoustic fields and learning in audio scenes.
Ilker Bayram received the MSc. degree from Middle East Technical University, Ankara, Turkey, in 2004. He received the PhD degree in EE from Polytechnic Institute of New York University, Brooklyn, NY, in 2009. In 2010, he started working at Istanbul Technical University, where he serves as an associate professor. He is interested in time-frequency frames, sparse signal processing, algorithms for reconstruction problems, and machine learning.
After finishing his Master in electrical engineering at the Ecole Fédérale de Lausanne (EPFL), Nathanaël Perraudin worked as a researcher in the Acoustic Research Institute (ARI) in Vienna. In 2013, he came back to EPFL for a PhD, where he specialized himself in different fields of signal processing, graph theory, machine learning, data science and audio processing. Since 2017, he works as a data scientist in the Swiss Data Science Center (SDSC), where he focuses on deep neural networks and generative models.