Dan Berrebbi
Dan Berrebbi
Apple - Carnegie Mellon University - Ecole Polytechnique
Zweryfikowany adres z andrew.cmu.edu
Cytowane przez
Cytowane przez
Ml-superb: Multilingual speech universal performance benchmark
J Shi, D Berrebbi, W Chen, HL Chung, EP Hu, WP Huang, X Chang, ...
arXiv preprint arXiv:2305.10615, 2023
Reproducing whisper-style training using an open-source toolkit and publicly available data
Y Peng, J Tian, B Yan, D Berrebbi, X Chang, X Li, J Shi, S Arora, W Chen, ...
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation
D Berrebbi, J Shi, B Yan, O Lopez-Francisco, JD Amith, S Watanabe
Proceedings of the Interspeech 2022, 3533-3537, 2022
Joint modeling of code-switched and monolingual asr via conditional factorization
B Yan, C Zhang, M Yu, SX Zhang, S Dalmia, D Berrebbi, C Weng, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
CMU’s IWSLT 2022 dialect speech translation system
B Yan, P Fernandes, S Dalmia, J Shi, Y Peng, D Berrebbi, X Wang, ...
Proceedings of the 19th International Conference on Spoken Language …, 2022
ESPnet-ST-v2: Multipurpose spoken language translation toolkit
B Yan, J Shi, Y Tang, H Inaguma, Y Peng, S Dalmia, P Polák, ...
arXiv preprint arXiv:2304.04596, 2023
Joint prediction and denoising for large-scale multilingual self-supervised learning
W Chen, J Shi, B Yan, D Berrebbi, W Zhang, Y Peng, X Chang, S Maiti, ...
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
GraphCite: citation intent classification in scientific publications via graph embeddings
D Berrebbi, N Huynh, O Balalau
Companion Proceedings of the Web Conference 2022, 779-783, 2022
Continuous Pseudo-Labeling from the Start
D Berrebbi, R Collobert, S Bengio, N Jaitly, T Likhomanenko
ICLR 2023, 2022
Avoid Overthinking in Self-Supervised Models for Speech Recognition
D Berrebbi, B Yan, S Watanabe
ICASSP 2023, 2022
Findings of the 2023 ml-superb challenge: Pre-training and evaluation over more languages and beyond
J Shi, W Chen, D Berrebbi, HH Wang, WP Huang, EP Hu, HL Chuang, ...
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
More Speaking or More Speakers?
D Berrebbi, R Collobert, N Jaitly, T Likhomanenko
ICASSP 2023, 2022
Systran@ wmt 2021: Terminology task
MQ Pham, JM Crego, A Senellart, D Berrebbi, J Senellart
Proceedings of the Sixth Conference on Machine Translation, 842-850, 2021
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