Hirofumi Inaguma
Hirofumi Inaguma
Ph.D. student at Kyoto University
Verified email at sap.ist.i.kyoto-u.ac.jp - Homepage
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Year
A comparative study on transformer vs rnn in speech applications
S Karita, N Chen, T Hayashi, T Hori, H Inaguma, Z Jiang, M Someki, ...
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
3492019
ESPnet-ST: All-in-one speech translation toolkit
H Inaguma, S Kiyono, K Duh, S Karita, NEY Soplin, T Hayashi, ...
arXiv preprint arXiv:2004.10234, 2020
662020
Recent developments on espnet toolkit boosted by conformer
P Guo, F Boyer, X Chang, T Hayashi, Y Higuchi, H Inaguma, N Kamo, C Li, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
622021
Acoustic-to-word attention-based model complemented with character-level CTC-based model
S Ueno, H Inaguma, M Mimura, T Kawahara
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
542018
Multilingual end-to-end speech translation
H Inaguma, K Duh, T Kawahara, S Watanabe
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
412019
Minimum latency training strategies for streaming sequence-to-sequence ASR
H Inaguma, Y Gaur, L Lu, J Li, Y Gong
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
282020
Transfer learning of language-independent end-to-end asr with language model fusion
H Inaguma, J Cho, MK Baskar, T Kawahara, S Watanabe
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
262019
Leveraging sequence-to-sequence speech synthesis for enhancing acoustic-to-word speech recognition
M Mimura, S Ueno, H Inaguma, S Sakai, T Kawahara
2018 IEEE Spoken Language Technology Workshop (SLT), 477-484, 2018
262018
Improved Mask-CTC for Non-Autoregressive End-to-End ASR
Y Higuchi, H Inaguma, S Watanabe, T Ogawa, T Kobayashi
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
202021
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
H Futami, H Inaguma, S Ueno, M Mimura, S Sakai, T Kawahara
arXiv preprint arXiv:2008.03822, 2020
172020
Enhancing monotonic multihead attention for streaming asr
H Inaguma, M Mimura, T Kawahara
arXiv preprint arXiv:2005.09394, 2020
132020
Orthros: Non-autoregressive end-to-end speech translation with dual-decoder
H Inaguma, Y Higuchi, K Duh, T Kawahara, S Watanabe
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
112021
Social Signal Detection in Spontaneous Dialogue Using Bidirectional LSTM-CTC
H Inaguma, K Inoue, M Mimura, T Kawahara
INTERSPEECH, 1691-1695, 2017
112017
The 2020 ESPNet update: New features, broadened applications, performance improvements, and future plans
S Watanabe, F Boyer, X Chang, P Guo, T Hayashi, Y Higuchi, T Hori, ...
arXiv preprint arXiv:2012.13006, 2020
102020
Prediction of ice-breaking between participants using prosodic features in the first meeting dialogue
H Inaguma, K Inoue, S Nakamura, K Takanashi, T Kawahara
Proceedings of the 2nd Workshop on Advancements in Social Signal Processing …, 2016
92016
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation
H Inaguma, T Kawahara, S Watanabe
arXiv preprint arXiv:2104.06457, 2021
62021
CTC-synchronous training for monotonic attention model
H Inaguma, M Mimura, T Kawahara
arXiv preprint arXiv:2005.04712, 2020
62020
Language model integration based on memory control for sequence to sequence speech recognition
J Cho, S Watanabe, T Hori, MK Baskar, H Inaguma, J Villalba, N Dehak
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
62019
Improving OOV detection and resolution with external language models in acoustic-to-word ASR
H Inaguma, M Mimura, S Sakai, T Kawahara
2018 IEEE Spoken Language Technology Workshop (SLT), 212-218, 2018
42018
An End-to-End Approach to Joint Social Signal Detection and Automatic Speech Recognition
H Inaguma, M Mimura, K Inoue, K Yoshii, T Kawahara
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
42018
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Articles 1–20