Tomasz Grzywalski

16 papers B 2Misc 1Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
Automatic re-labeling of Google AudioSet for improved quality of learned features and pre-training.
SPA
Tomasz Grzywalski, Dick Botteldooren
2024 — conf
Salient sound extraction using deep neural networks predicting complex masks.
SPA
Tomasz Grzywalski, Dick Botteldooren, Yanjue Song, Nilesh Madhu
2023 — conf
Using Frequency Correction of Stethoscope Recordings to Improve Classification of Respiratory Sounds.
PCBBE
Adam Biniakowski, Krzysztof Szarzynski, Tomasz Grzywalski
2022 J jnl
Speech Enhancement by Multiple Propagation through the Same Neural Network.
Sensors
Tomasz Grzywalski, Szymon Drgas
2022 J jnl
Speech enhancement using U-nets with wide-context units.
Multim. Tools Appl.
Tomasz Grzywalski, Szymon Drgas
2020 B conf
Joint Heart Sounds Segmentation and Murmur Detection with Masked Loss Function.
IJCNN
Tomasz Grzywalski, Adam Maciaszek, Riccardo Belluzzo, Krzysztof Szarzynski, Mateusz Piecuch, Honorata Hafke-Dys
2020 — conf
Speech enhancement by iterating forward pass through U-net.
SPA
Tomasz Grzywalski, Szymon Drgas
2019 B conf
Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope.
AIME
Tomasz Grzywalski, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Breborowicz, Anna Pastusiak, Honorata Hafke-Dys, Jedrzej Kocinski
2019 — conf
Interactive Lungs Auscultation with Reinforcement Learning Agent.
ICAART (2)
Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys
2019 J jnl
Interactive Lungs Auscultation with Reinforcement Learning Agent.
CoRR
Tomasz Grzywalski, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalinska, Honorata Hafke-Dys
2019 Misc conf
Using Recurrences in Time and Frequency within U-net Architecture for Speech Enhancement.
ICASSP
Tomasz Grzywalski, Szymon Drgas
2018 — conf
Application of recurrent U-net architecture to speech enhancement.
SPA
Tomasz Grzywalski, Szymon Drgas
2018 — conf
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection.
IEEE BigData
Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski, Jan Orwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak, Dawid Niemiec, Jakub Ptaszynski, Krzysztof Szarzynski
2018 J jnl
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection.
CoRR
Tomasz Grzywalski, Adam Maciaszek, Adam Biniakowski, Jan Orwat, Szymon Drgas, Mateusz Piecuch, Riccardo Belluzzo, Krzysztof Joachimiak, Dawid Niemiec, Jakub Ptaszynski, Krzysztof Szarzynski
2018 J jnl
Using recurrences in time and frequency within U-net architecture for speech enhancement.
CoRR
Tomasz Grzywalski, Szymon Drgas
2015 — conf
Test of six image quality assessment methods.
IWSSIP
Tomasz Grzywalski, Ryszard Stasinski