| 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 | 302 | 2021 |
| Mask CTC: Non-autoregressive end-to-end ASR with CTC and mask predict Y Higuchi, S Watanabe, N Chen, T Ogawa, T Kobayashi arXiv preprint arXiv:2005.08700, 2020 | 150 | 2020 |
| 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 | 70 | 2021 |
| Momentum pseudo-labeling for semi-supervised speech recognition Y Higuchi, N Moritz, JL Roux, T Hori arXiv preprint arXiv:2106.08922, 2021 | 57 | 2021 |
| 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 | 57 | 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 | 49 | 2021 |
| CTC alignments improve autoregressive translation B Yan, S Dalmia, Y Higuchi, G Neubig, F Metze, AW Black, S Watanabe arXiv preprint arXiv:2210.05200, 2022 | 35 | 2022 |
| Hierarchical conditional end-to-end asr with ctc and multi-granular subword units Y Higuchi, K Karube, T Ogawa, T Kobayashi ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 33 | 2022 |
| Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models K Deng, Z Yang, S Watanabe, Y Higuchi, G Cheng, P Zhang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 32 | 2022 |
| BERT meets CTC: New formulation of end-to-end speech recognition with pre-trained masked language model Y Higuchi, B Yan, S Arora, T Ogawa, T Kobayashi, S Watanabe arXiv preprint arXiv:2210.16663, 2022 | 27 | 2022 |
| A study on the integration of pre-trained ssl, asr, lm and slu models for spoken language understanding Y Peng, S Arora, Y Higuchi, Y Ueda, S Kumar, K Ganesan, S Dalmia, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 406-413, 2023 | 25 | 2023 |
| 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 | 24 | 2021 |
| Momentum pseudo-labeling: Semi-supervised asr with continuously improving pseudo-labels Y Higuchi, N Moritz, J Le Roux, T Hori IEEE Journal of Selected Topics in Signal Processing 16 (6), 1424-1438, 2022 | 20 | 2022 |
| Bectra: Transducer-based end-to-end asr with bert-enhanced encoder Y Higuchi, T Ogawa, T Kobayashi, S Watanabe ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 16 | 2023 |
| Advancing momentum pseudo-labeling with conformer and initialization strategy Y Higuchi, N Moritz, J Le Roux, T Hori ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Non-autoregressive end-to-end speech translation with parallel autoregressive rescoring H Inaguma, Y Higuchi, K Duh, T Kawahara, S Watanabe arXiv preprint arXiv:2109.04411, 2021 | 8 | 2021 |
| Speaker embeddings incorporating acoustic conditions for diarization Y Higuchi, M Suzuki, G Kurata ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Espnet-ONNX: Bridging a gap between research and production M Someki, Y Higuchi, T Hayashi, S Watanabe 2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022 | 6 | 2022 |
| Noise-robust attention learning for end-to-end speech recognition Y Higuchi, N Tawara, A Ogawa, T Iwata, T Kobayashi, T Ogawa 2020 28th European Signal Processing Conference (EUSIPCO), 311-315, 2021 | 6 | 2021 |
| Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages. Y Higuchi, N Tawara, T Kobayashi, T Ogawa INTERSPEECH, 266-270, 2019 | 6 | 2019 |
Shinji WatanabeCarnegie Mellon UniversityVerified email at cmu.edu
