| 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 | 418 | 2019 |
| 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 | 96 | 2021 |
| 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 | 88 | 2020 |
| 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 | 59 | 2018 |
| Multilingual end-to-end speech translation H Inaguma, K Duh, T Kawahara, S Watanabe 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 52 | 2019 |
| 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 | 35 | 2018 |
| 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 | 34 | 2020 |
| 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 | 32 | 2019 |
| 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 | 29 | 2021 |
| 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 | 24 | 2020 |
| 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, ... 2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021 | 23 | 2021 |
| Enhancing monotonic multihead attention for streaming asr H Inaguma, M Mimura, T Kawahara arXiv preprint arXiv:2005.09394, 2020 | 20 | 2020 |
| 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 | 14 | 2021 |
| 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 | 12 | 2021 |
| Source and target bidirectional knowledge distillation for end-to-end speech translation H Inaguma, T Kawahara, S Watanabe arXiv preprint arXiv:2104.06457, 2021 | 12 | 2021 |
| Social Signal Detection in Spontaneous Dialogue Using Bidirectional LSTM-CTC H Inaguma, K Inoue, M Mimura, T Kawahara INTERSPEECH, 1691-1695, 2017 | 12 | 2017 |
| 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 | 10 | 2016 |
| ESPnet-ST IWSLT 2021 offline speech translation system H Inaguma, B Yan, S Dalmia, P Guo, J Shi, K Duh, S Watanabe arXiv preprint arXiv:2107.00636, 2021 | 7 | 2021 |
| CTC-synchronous training for monotonic attention model H Inaguma, M Mimura, T Kawahara arXiv preprint arXiv:2005.04712, 2020 | 7 | 2020 |
| End-to-end speech-to-dialog-act recognition VT Dang, T Zhao, S Ueno, H Inaguma, T Kawahara arXiv preprint arXiv:2004.11419, 2020 | 6 | 2020 |
Shinji WatanabeCarnegie Mellon UniversityVerified email at cmu.edu
