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ORCIDSzymon Zaporowski
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2020 – today
- 2024
[c14]Szymon Zaporowski:
The Impact of Foreign Accents on the Performance of Whisper Family Models Using Medical Speech in Polish. ISD 2024- [c13]Szymon Zaporowski, Franciszek Górski, Józef Kotus:
Developing a Low SNR Resistant, Text Independent Speaker Recognition System for Intercom Solutions - A Case Study. ISD 2024 - 2023
- [c12]Mateusz Wozniak, Michal Sakowicz, Kacper Ledwosinski, Jakub Rzepkowski, Pawel Czapla, Szymon Zaporowski:
Bimodal Emotion Recognition Based on Vocal and Facial Features. KES 2023: 2556-2566 - 2022
- [j1]Andrzej Sroczynski, Adam Kurowski
, Szymon Zaporowski, Andrzej Czyzewski:
Examining Impact of Speed Recommendation Algorithm Operating in Autonomous Road Signs on Minimum Distance between Vehicles. Remote. Sens. 14(12): 2803 (2022) - 2021
- [c11]Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling. ICASSP 2021: 7738-7742 - [c10]Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, Grzegorz Beringer, Jaime Lorenzo-Trueba, Alicja Serafinowicz, Jasha Droppo, Thomas Drugman, Bozena Kostek:
Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention. Interspeech 2021: 3915-3919 - [i2]Daniel Korzekwa, Jaime Lorenzo-Trueba, Szymon Zaporowski, Shira Calamaro, Thomas Drugman, Bozena Kostek:
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling. CoRR abs/2101.06396 (2021) - 2020
- [c9]Szymon Zaporowski, Bozena Kostek:
Ranking Speech Features for Their Usage in Singing Emotion Classification. ISMIS 2020: 225-234 - [c8]Szymon Zaporowski, Andrzej Czyzewski:
Audio Feature Analysis for Precise Vocalic Segments Classification in English. MCSS 2020: 265-277 - [c7]Adam Kurowski, Szymon Zaporowski, Andrzej Czyzewski:
1D convolutional context-aware architectures for acoustic sensing and recognition of passing vehicle type. SPA 2020: 142-145 - [c6]Dawid Weber, Szymon Zaporowski, Daniel Korzekwa:
Constructing a Dataset of Speech Recordings with Lombard Effect. SPA 2020: 180-185 - [i1]Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski, Grzegorz Beringer, Jaime Lorenzo-Trueba, Alicja Serafinowicz, Jasha Droppo, Thomas Drugman, Bozena Kostek:
Detection of Lexical Stress Errors in Non-native (L2) English with Data Augmentation and Attention. CoRR abs/2012.14788 (2020)
2010 – 2019
- 2019
- [c5]Adam Kurowski, Andrzej Czyzewski, Szymon Zaporowski:
Automatic labeling of traffic sound recordings using autoencoder-derived features. SPA 2019: 38-43 - [c4]Maciej Blaszke, Damian Koszewski, Szymon Zaporowski:
Real and Virtual Instruments in Machine Learning -Training and Comparison of Classification Results. SPA 2019: 153-157 - 2018
- [c3]Sebastian Cygert, Grzegorz Szwoch, Szymon Zaporowski, Andrzej Czyzewski:
Vocalic Segments Classification Assisted by Mouth Motion Capture. HSI 2018: 318-324 - [c2]Szymon Zaporowski, Andrzej Czyzewski:
Selection of Features for Multimodal Vocalic Segments Classification. MISSI 2018: 490-500 - [c1]Szymon Zaporowski, Joanna Golebiewska, Bozena Kostek, Julia Piltz:
Audio-visual aspect of the Lombard effect and comparison with recordings depicting emotional states. SPA 2018: 104-107
Coauthor Index
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