| 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 | 313 | 2019 |
| Audio Replay Attack Detection Using High-Frequency Features M Witkowski, S Kacprzak, P Żelasko, K Kowalczyk, J Gałka Interspeech 2017, 27-31, 2017 | 193 | 2017 |
| Non-autoregressive transformer for speech recognition N Chen, S Watanabe, J Villalba, P Żelasko, N Dehak IEEE Signal Processing Letters 28, 121-125, 2020 | 137 | 2020 |
| Punctuation prediction model for conversational speech P Żelasko, P Szymański, J Mizgajski, A Szymczak, Y Carmiel, N Dehak Interspeech 2018, 2018 | 64 | 2018 |
| 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 | 55 | 2021 |
| Segmental contrastive predictive coding for unsupervised word segmentation S Bhati, J Villalba, P Żelasko, L Moro-Velazquez, N Dehak Interspeech 2021, 2021 | 54 | 2021 |
| 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 | 54 | 2021 |
| 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 | 53* | 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 | 52 | 2021 |
| WER we are and WER we think we are P Szymański, P Żelasko, M Morzy, A Szymczak, M Żyła-Hoppe, ... EMNLP 2020, 2020 | 47 | 2020 |
| 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 | 47 | 2016 |
| 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 | 30 | 2021 |
| That sounds familiar: an analysis of phonetic representations transfer across languages P Żelasko, L Moro-Velázquez, M Hasegawa-Johnson, O Scharenborg, ... Interspeech 2020, 2020 | 27 | 2020 |
| AGH corpus of Polish speech P Żelasko, B Ziółko, T Jadczyk, D Skurzok Language Resources and Evaluation 50, 585-601, 2016 | 26 | 2016 |
| 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 | 25 | 2022 |
| Self-expressing autoencoders for unsupervised spoken term discovery S Bhati, J Villalba, P Żelasko, N Dehak Interspeech 2020, 2020 | 21 | 2020 |
| Lhotse: a speech data representation library for the modern deep learning ecosystem P Żelasko, D Povey, J Trmal, S Khudanpur NeurIPS 2021 Data-Centric AI Workshop, 2021 | 20 | 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 | 20 | 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, ... 6th International Workshop on Speech Processing in Everyday Environments, 2020 | 16 | 2020 |
| Spine2Net: SpineNet with Res2Net and Time-Squeeze-and-Excitation Blocks for Speaker Recognition. M Rybicka, J Villalba, P Zelasko, N Dehak, K Kowalczyk Interspeech, 496-500, 2021 | 15 | 2021 |
Najim DehakAssociate Professor at ECE department, Johns Hopkins University.Verified email at jhu.edu
