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2 papers presented at IEEE MMSP 2021 in Tampere

Join us at IEEE Intternational Workshop on Multimedia Signal Processing 2021 to be held in Tampere, Finland, where Julitta Bartolewska and Mateusz Guzik will give in-person presentations: Incorporation of Localization Information for Sound Source Separation in Spherical Harmonic Domain by Mateusz Guzik, Mieszko Fraś, and Konrad Kowalczyk during the session on Friday, October 8, 8:30-9:30. […]

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2 papers presented at INTERSPEECH 2021

Join us at INTERSPEECH 2021 conference in Brno, where Magdalena Rybicka and Mieszko Fraś will give 2 in-person oral presentations on: Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition by Magdalena Rybicka, Jesús Villalba, Piotr Żelasko, Najim Dehak, and Konrad Kowalczyk during the session: Embedding and Network Architecture for Speaker Recognition on Tuesday, […]

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3 papers presented at EUSIPCO 2021

Join AGH Signal Processing group at the European Signal Processing Conference 2021 and visit 3 presentations by Stanisław Kacprzak, Marcin Witkowski, and former group member Daniel Krause on the outcome of two current projects MLSAP and APDAS: Stanisław Kacprzak will talk about Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording […]

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Silver in the IEEE Signal Processing Cup 2021 student competition

We are proud to announce that TEAM AGH consisting of our 4 highly talented undergraduate students: Michał Antos, Aleksander Strzeboński, Piotr Radecki, Mateusz Wojtulewicz, organized and led by a tutor mgr inż. Szymon Woźniak, won the second prize (1st runner up) in the IEEE Signal Processing Cup 2021 (SP Cup 2021) student competition. This year’s […]

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Presentation and IEEE Signal Processing Cup Final at IEEE ICASSP 2021

We are very happy that members of AGH Signal Processing Group will be present at this year’s IEEE ICASSP. On Thursday, 10 June, at 13:00 – 13:45 (Eastern Daylight Time) mgr inż. Mieszko Fraś will present the paper entitled: “Maximum a Posteriori Estimator for Convolutive Sound Source Separation with Sub-Source Based NTF Model and the […]

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