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Piotr Żelasko
Piotr Żelasko
Principal Research Scientist @ Nvidia
Zweryfikowany adres z nvidia.com
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2572019
Audio Replay Attack Detection Using High-Frequency Features
M Witkowski, S Kacprzak, P Żelasko, K Kowalczyk, J Gałka
Interspeech 2017, 27-31, 2017
1892017
Non-autoregressive transformer for speech recognition
N Chen, S Watanabe, J Villalba, P Żelasko, N Dehak
IEEE Signal Processing Letters 28, 121-125, 2020
1252020
Punctuation prediction model for conversational speech
P Żelasko, P Szymański, J Mizgajski, A Szymczak, Y Carmiel, N Dehak
Interspeech 2018, 2018
592018
Segmental contrastive predictive coding for unsupervised word segmentation
S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak
Interspeech 2021, 2021
482021
Study of pre-processing defenses against adversarial attacks on state-of-the-art speaker recognition systems
S Joshi, J Villalba, P Żelasko, L Moro-Velázquez, N Dehak
IEEE Transactions on Information Forensics and Security 16, 4811-4826, 2021
47*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
442021
WER we are and WER we think we are
P Szymański, P Żelasko, M Morzy, A Szymczak, M Żyła-Hoppe, ...
EMNLP 2020, 2020
442020
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, 1-16, 2016
442016
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 2021, 3825-3829, 2021
412021
Earnings-21: a practical benchmark for ASR in the wild
M Del Rio, N Delworth, R Westerman, M Huang, N Bhandari, J Palakapilly, ...
Interspeech 2021, 2021
362021
AGH corpus of Polish speech
P Żelasko, B Ziółko, T Jadczyk, D Skurzok
Language Resources and Evaluation 50, 585-601, 2016
262016
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
242021
That sounds familiar: an analysis of phonetic representations transfer across languages
P Żelasko, L Moro-Velázquez, M Hasegawa-Johnson, O Scharenborg, ...
Interspeech 2020, 2020
232020
Self-expressing autoencoders for unsupervised spoken term discovery
S Bhati, J Villalba, P Żelasko, N Dehak
Interspeech 2020, 2020
202020
Unsupervised speech segmentation and variable rate representation learning using segmental contrastive predictive coding
S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2002-2014, 2022
182022
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
182021
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, ...
6th International Workshop on Speech Processing in Everyday Environments, 2020
162020
Discovering phonetic inventories with crosslingual automatic speech recognition
P Żelasko, S Feng, LM Velazquez, A Abavisani, S Bhati, O Scharenborg, ...
Computer Speech & Language 74, 101358, 2022
132022
What helps transformers recognize conversational structure? Importance of context, punctuation, and labels in dialog act recognition
P Żelasko, R Pappagari, N Dehak
Transactions of the Association for Computational Linguistics 9, 1163-1179, 2021
122021
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