Articles with public access mandates - Hirofumi InagumaLearn more
Available somewhere: 5
A comparative study on non-autoregressive modelings for speech-to-text generation
Y Higuchi, N Chen, Y Fujita, H Inaguma, T Komatsu, J Lee, J Nozaki, ...
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 47-54, 2021
Mandates: US National Science Foundation
Findings of the iwslt 2023 evaluation campaign
M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ...
Association for Computational Linguistics, 2023
Mandates: US National Science Foundation, Science Foundation Ireland, European Commission
Fast-md: Fast multi-decoder end-to-end speech translation with non-autoregressive hidden intermediates
H Inaguma, S Dalmia, B Yan, S Watanabe
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
Mandates: US National Science Foundation
Enhancing speech-to-speech translation with multiple tts targets
J Shi, Y Tang, A Lee, H Inaguma, C Wang, J Pino, S Watanabe
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Mandates: US National Science Foundation
ESPnet How2 speech translation system for IWSLT 2019: Pre-training, knowledge distillation, and going deeper
H Inaguma, S Kiyono, NEY Soplin, J Suzuki, K Duh, S Watanabe
Proceedings of the 16th International Conference on Spoken Language Translation, 2019
Mandates: US National Science Foundation
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