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3 papers accepted for IEEE ICASSP 2022

We are very happy that 3 papers authored by members of AGH Signal Processing Group were accepted for presentation at IEEE ICASSP 2022 conference. Stanisław Kacprzak, Magdalena Rybicka, Konrad Kowalczyk, “Spoken Language Recognition with Cluster-based Modeling“, accepted for IEEE ICASSP 2022. Mieszko Fraś, Marcin Witkowski, Konrad Kowalczyk, “Convolutional Weighted Minimum Mean Square Error Filter for […]

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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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Two presentations and session chair at EUSIPCO 2020

The outcome of the Machine Learning for Spatial Audio Processing project will be presented by mgr inż. Daniel Krause at EUSIPCO 2020 virtual conference, which starts this week, with papers on “Comparison of Convolution Types in CNN-based Feature Extraction for Sound Source Localization” and “Feature Overview for Joint Modeling of Sound Event Detection and Localization […]

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