The Signal Processing Group is part of the Institute of Electronics, which belongs to the Faculty of Computer Science, Electronics and Telecommunications at AGH University of Krakow, Poland. Group members perform research into various aspects of digital signal processing (DSP) focusing mainly on speech and audio signal processing for the Internet of Things (IoT), multimedia and communication applications, as well as the processing of biomedical signals and audio-video for virtual and augmented reality. Research into signal processing builds upon an intelligent integration of classical DSP techniques, statistical signal processing and machine learning.
The Signal Processing Group is led by Associate Professor Konrad Kowalczyk and it consists of over a dozen of the members of academic staff and research students at a Ph.D. level. The DSP team collaborates internationally with renown academic partners and nationally with the local high-tech industry, and has successfully completed a number of research and commercial R&D projects. The group offers fundamental and advanced taught courses on signal processing, DSP, machine learning, and programming for embedded and multimedia applications at both undergraduate and graduate levels. The Signal Processing Group regularly offers student jobs in research and R&D projects, as well as provides a breadth of opportunities for thesis work and student internships.
Our team member, mgr inż. Mateusz Guzik, participated in a 3-month PhD internship, during which he was working with the experts from Dolby in Barcelona, Spain. Together with the research staff from Dolby, mgr inż. Mateusz Guzik was working on deep learning approaches to spatial audio processing for beamforming applications. More information about the results […]
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Traditionally, members of the Signal Processing group are present at Małopolska Noc Naukowców organized by the Faculty of Computer Science, Electronics and Telecommunication, AGH University of Krakow, which takes place on the 27th of September 2024. This year, visitors will hear about neural audio processing, try out a virtual medical assistant, and experience multimedia VR […]
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We were very happy to host Alicja Misiuda from the University of Washington, Seattle over the summer at the Signal Processing group of AGH. Over the last 3 months Alicja was working under the supervision of dr inż. Stanisław Kacprzak on novel audio augmentation techniques, adapting methods known from image processing. More about the outcome […]
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We are very pleased to inform that a journal article on diarization by Magdalena Rybicka in collaboration with partners from John Hopkins University has just been published on IEEE Xplore. Title: End-to-End Neural Speaker Diarization With Non-Autoregressive Attractors Authors: M. Rybicka, J. Villalba, T. Thebaud, N. Dehak and K. Kowalczyk Abstract: Despite many recent developments […]
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We are happy to notify that a journal article by Mateusz Guzik on source separation from spatial Ambisonic signals has just been published on IEEE Xplore. You can find audio examples at Github. Title: On Ambisonic Source Separation With Spatially Informed Non-Negative Tensor Factorization Authors: Mateusz Guzik and Konrad Kowalczyk Abstract: This article presents a […]
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Foundation for Polish Science (Fundacja na rzecz Nauki Polskiej) publishes a report entitled “Young leaders, talents and groundbreaking research” in which FNP presents highlights of 11 selected projects supported by FNP First TEAM program in 2016 – 2023 period. One of the selected projects is Audio Processing using Distributed Acoustic Sensors (APDAS) realized by AGH’s […]
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We are happy to announce that an journal article by Mieszko Fraś on joint separation and dereverberation has just been published on IEEE Xplore. Title: Reverberant Source Separation Using NTF With Delayed Subsources and Spatial Priors Authors: Mieszko Fraś and Konrad Kowalczyk Abstract: Speech signals recorded by distant microphones are often contaminated with room reverberation […]
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Thanks to all fellow researchers for fruitful scientific discussions at two major conferences on speech and acoustic signal processing, IEEE ICASSP 2023 and INTERSPEECH 2023.
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We pleased to announce that AGH’s Signal Processing Group obtained funding from the National Science Center (NCN) Poland under the OPUS program for the project entitled “Acoustic Intelligence – towards self-supervised deep neural acoustic analysis”. The principle investigator is associate professor Konrad Kowalczyk. More information can be found at AGH and IET Faculty.
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