Next week several members of AGH’s Signal Processing Group will attend INTERSPEECH 2023 to present their work on joint source separation and dereverberation for automatic speech recognition and online noise reduction using deep neural architectures. Please meet our team members: Julitta Bartolewska, Mieszko Fraś, Stanisław Kacprzak, and Konrad Kowalczyk to talk about the research performed […]
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We pleased to announce that AGH’s Signal Processing Group in collaboration with a company Proassist is about to begin a project funded by NCBR within Infostrateg IV program. The aim of the project is to create a virtual medical voice assistant which automates the process of filling out Electronic Medical Records (EMD) and accompanying forms […]
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Mateusz Guzik and Konrad Kowalczyk will be presenting their work “Convolutive NTF for Ambisonic Source Separation under Reverberant Conditions” at ICASSP 2023 conference in Rhodoes Island, Greece. Catch them on Tuesday 6th of June at poster session:AASP-P1: Binaural Audio; Multichannel Source SeparationRoom: Poster Area 1 – Garden03:35 PM to 5:05 PM
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We are pleased to announce that dr hab. inż. Konrad Kowalczyk, prof. AGH was elected to the Technical Area Committee on Acoustic, Speech and Music Signal Processing (TAC ASMSP) of the European Association for Signal Processing (EURASIP). The European Association for Signal Processing (EURASIP) was founded in 1978 with the purpose / objective of improving […]
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As every year, our group took part in Małopolska Noc Naukowców organized at the Faculty of Computer Science, Electronics and Telecommunication. This year for the first time our participation included a demo in the Virtual Reality lab, which the audience highly enjoyed. Event on our side was organized and run by mgr inż. Marcin Witkowski, […]
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Tomorrow our team members are heading to Incheon in South Korea to attend the upcoming INTERSPEECH 2022 conference. Meet Magdalen Rybicka, Julitta Bartolewska, Mieszko Fraś, Mateusz Guzik, Marcin Witkowski, Stanisław Kacprzak and Konrad Kowalczyk personally at INTERSPEECH 2022 to talk about their research on speaker diarization, speech separation, dereverberation and denoising using deep learning, hybrid, […]
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