Piotr Żelasko
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Audio Replay Attack Detection Using High-Frequency Features
M Witkowski, S Kacprzak, P Żelasko, K Kowalczyk, J Gałka
Interspeech 2017, 27-31, 2017
Hierarchical transformers for long document classification
R Pappagari, P Zelasko, J Villalba, Y Carmiel, N Dehak
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
Punctuation prediction model for conversational speech
P Żelasko, P Szymański, J Mizgajski, A Szymczak, Y Carmiel, N Dehak
arXiv preprint arXiv:1807.00543, 2018
Structure of pauses in speech in the context of speaker verification and classification of speech type
M Igras-Cybulska, B Ziółko, P Żelasko, M Witkowski
EURASIP Journal on Audio, Speech, and Music Processing 2016 (1), 1-16, 2016
AGH corpus of Polish speech
P Żelasko, B Ziółko, T Jadczyk, D Skurzok
Language Resources and Evaluation 50 (3), 585-601, 2016
Non-autoregressive transformer for speech recognition
N Chen, S Watanabe, J Villalba, P Żelasko, N Dehak
IEEE Signal Processing Letters 28, 121-125, 2020
WER we are and WER we think we are.
P Szymanski, P Zelasko, M Morzy, A Szymczak, M Zyla-Hoppe, ...
EMNLP (Findings), 3290-3295, 2020
SARMATA 2.0 automatic Polish language speech recognition system
B Ziółko, T Jadczyk, D Skurzok, P Żelasko, J Gałka, T Pȩdzimąż, I Gawlik, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
How phonotactics affect multilingual and zero-shot asr performance
S Feng, P Żelasko, L Moro-Velázquez, A Abavisani, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Adversarial Attacks and Defenses for Speech Recognition Systems
P Żelasko, S Joshi, Y Shao, J Villalba, J Trmal, N Dehak, S Khudanpur
arXiv preprint arXiv:2103.17122, 2021
Self-expressing autoencoders for unsupervised spoken term discovery
S Bhati, J Villalba, P Żelasko, N Dehak
arXiv preprint arXiv:2007.13033, 2020
That sounds familiar: an analysis of phonetic representations transfer across languages
P Żelasko, L Moro-Velázquez, M Hasegawa-Johnson, O Scharenborg, ...
arXiv preprint arXiv:2005.08118, 2020
Punctuation prediction in spontaneous conversations: Can we mitigate asr errors with retrofitted word embeddings?
Ł Augustyniak, P Szymanski, M Morzy, P Zelasko, A Szymczak, ...
arXiv preprint arXiv:2004.05985, 2020
CopyPaste: An Augmentation Method for Speech Emotion Recognition
R Pappagari, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Earnings-21: A Practical Benchmark for ASR in the Wild
M Del Rio, N Delworth, R Westerman, M Huang, N Bhandari, J Palakapilly, ...
arXiv preprint arXiv:2104.11348, 2021
Adversarial Attacks and Defenses for Speaker Identification Systems
S Joshi, J Villalba, P Żelasko, L Moro-Velázquez, N Dehak
arXiv preprint arXiv:2101.08909, 2021
Learning speaker embedding from text-to-speech
J Cho, P Zelasko, J Villalba, S Watanabe, N Dehak
arXiv preprint arXiv:2010.11221, 2020
WER we are and WER we think we are
P Szymański, P Żelasko, M Morzy, A Szymczak, M Żyła-Hoppe, ...
arXiv preprint arXiv:2010.03432, 2020
The JHU multi-microphone multi-speaker ASR system for the CHiME-6 challenge
A Arora, D Raj, AS Subramanian, K Li, B Ben-Yair, M Maciejewski, ...
arXiv preprint arXiv:2006.07898, 2020
HMM-based breath and filled pauses elimination in ASR
P Żelasko, T Jadczyk, B Ziółko
2014 International Conference on Signal Processing and Multimedia …, 2014
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