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
Non-autoregressive transformer for speech recognition
N Chen, S Watanabe, J Villalba, P Żelasko, N Dehak
IEEE Signal Processing Letters 28, 121-125, 2020
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
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
Adversarial attacks and defenses for speaker identification systems
S Joshi, J Villalba, P Zelasko, L Moro-Velázquez, N Dehak
arXiv preprint arXiv:2101.08909, 2021
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
Segmental contrastive predictive coding for unsupervised word segmentation
S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak
arXiv preprint arXiv:2106.02170, 2021
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 speech recognition systems
P Żelasko, S Joshi, Y Shao, J Villalba, J Trmal, N Dehak, S Khudanpur
arXiv preprint arXiv:2103.17122, 2021
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
Self-expressing autoencoders for unsupervised spoken term discovery
S Bhati, J Villalba, P Żelasko, N Dehak
arXiv preprint arXiv:2007.13033, 2020
SARMATA 2.0 automatic Polish language speech recognition system
B Ziółko, T Jadczyk, D Skurzok, P Żelasko, J Gałka, T Pȩdzim±ż, I Gawlik, ...
Sixteenth Annual Conference of the International Speech Communication …, 2015
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios.
R Pappagari, J Cho, S Joshi, L Moro-Velázquez, P Zelasko, J Villalba, ...
Interspeech, 3825-3829, 2021
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
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
Unsupervised acoustic unit discovery by leveraging a language-independent subword discriminative feature representation
S Feng, P Żelasko, L Moro-Velázquez, O Scharenborg
arXiv preprint arXiv:2104.00994, 2021
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