| 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 | 343 | 2019 |
| x-vectors meet emotions: A study on dependencies between emotion and speaker recognition R Pappagari, T Wang, J Villalba, N Chen, N Dehak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 152 | 2020 |
| Deep neural networks for emotion recognition combining audio and transcripts J Cho, R Pappagari, P Kulkarni, J Villalba, Y Carmiel, N Dehak arXiv preprint arXiv:1911.00432, 2019 | 131 | 2019 |
| Can you tell me how to get past sesame street? sentence-level pretraining beyond language modeling A Wang, J Hula, P Xia, R Pappagari, RT McCoy, R Patel, N Kim, I Tenney, ... arXiv preprint arXiv:1812.10860, 2018 | 125 | 2018 |
| Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. R Pappagari, J Cho, L Moro-Velazquez, N Dehak Interspeech, 2177-2181, 2020 | 87 | 2020 |
| 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 | 64 | 2021 |
| Significance of analytic phase of speech signals in speaker verification K Vijayan, PR Reddy, KSR Murty Speech Communication 81, 54-71, 2016 | 64 | 2016 |
| 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 | 61 | 2021 |
| jiant 1.2: A software toolkit for research on general-purpose text understanding models A Wang, IF Tenney, Y Pruksachatkun, K Yu, J Hula, P Xia, R Pappagari, ... Note: http://jiant. info/Cited by: footnote 4, 2019 | 54 | 2019 |
| MT-GenEval: A counterfactual and contextual dataset for evaluating gender accuracy in machine translation A Currey, M Nădejde, R Pappagari, M Mayer, S Lauly, X Niu, B Hsu, ... arXiv preprint arXiv:2211.01355, 2022 | 29 | 2022 |
| Looking for ELMo's friends: Sentence-level pretraining beyond language modeling SR Bowman, E Pavlick, E Grave, B Van Durme, A Wang, J Hula, P Xia, ... | 27 | 2018 |
| Query word retrieval from continuous speech using GMM posteriorgrams PR Reddy, K Rout, KSR Murty 2014 International Conference on Signal Processing and Communications (SPCOM …, 2014 | 26 | 2014 |
| Joint verification-identification in end-to-end multi-scale CNN framework for topic identification R Pappagari, J Villalba, N Dehak 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 20 | 2018 |
| 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 | 14 | 2021 |
| Topic identification of spoken documents using unsupervised acoustic unit discovery S Kesiraju, R Pappagari, L Ondel, L Burget, N Dehak, S Khudanpur, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 14 | 2017 |
| Joint prediction of truecasing and punctuation for conversational speech in low-resource scenarios R Pappagari, P Żelasko, A Mikołajczyk, P Pęzik, N Dehak 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 13 | 2021 |
| Non-contrastive self-supervised learning of utterance-level speech representations J Cho, R Pappagari, P Żelasko, L Moro-Velazquez, J Villalba, N Dehak arXiv preprint arXiv:2208.05413, 2022 | 12 | 2022 |
| Unsupervised spoken word retrieval using Gaussian-Bernoulli restricted Boltzmann machines RR Pappagari, S Nayak, KSR Murty Fifteenth Annual Conference of the International Speech Communication …, 2014 | 10 | 2014 |
| Beyond isolated utterances: Conversational emotion recognition R Pappagari, P Żelasko, J Villalba, L Moro-Velazquez, N Dehak 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 39-46, 2021 | 8 | 2021 |
| M3T: A new benchmark dataset for multi-modal document-level machine translation B Hsu, X Liu, H Li, Y Fujinuma, M Nadejde, X Niu, Y Kittenplon, R Litman, ... arXiv preprint arXiv:2406.08255, 2024 | 3 | 2024 |
Najim DehakAssociate Professor at ECE department, Johns Hopkins University.Email yang diverifikasi di jhu.edu