| 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 | 123 | 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 | 59 | 2021 |
| CHARM-deep: Continuous human activity recognition model based on deep neural network using IMU sensors of smartwatch S Ashry, T Ogawa, W Gomaa IEEE Sensors Journal 20 (15), 8757-8770, 2020 | 54 | 2020 |
| CENSREC-1-AV: An audio-visual corpus for noisy bimodal speech recognition S. Tamura, C. Miyajima, N. Kitaoka, T. Yamada, S. Tsuge, T. Takiguchi, K ... Proc. The 9th International Conference on Auditory-Visual Speech Processing …, 2010 | 51* | 2010 |
| Block-wise scrambled image recognition using adaptation network K Madono, M Tanaka, M Onishi, T Ogawa arXiv preprint arXiv:2001.07761, 2020 | 48 | 2020 |
| Real-time large-scale map matching using mobile phone data E Algizawy, T Ogawa, A El-Mahdy ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-38, 2017 | 44 | 2017 |
| Tandem connectionist anomaly detection: Use of faulty vibration signals in feature representation learning T Hasegawa, J Ogata, M Murakawa, T Ogawa 2018 IEEE International Conference on Prognostics and Health Management …, 2018 | 43* | 2018 |
| CENSREC-4: development of evaluation framework for distant-talking speech recognition under reverberant environments M. Nakayama, T. Nishiura, Y. Denda, N. Kitaoka, K. Yamamoto, T. Yamada, S ... Ninth Annual Conference of the International Speech Communication …, 2008 | 41* | 2008 |
| Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder. N Tawara, T Kobayashi, T Ogawa Proc. The 20th Annual Conference of the International Speech Communication …, 2019 | 40 | 2019 |
| CENSREC-1-C: An evaluation framework for voice activity detection under noisy environments N. Kitaoka, T. Yamada, S. Tsuge, C. Miyajima, K. Yamamoto, T. Nishiura, M ... Acoust. Sci., & Tech. 30 (5), 363-371, 2009 | 40 | 2009 |
| Waseda Meisei at TRECVID 2017: Ad-hoc Video Search. K Ueki, K Hirakawa, K Kikuchi, T Ogawa, T Kobayashi Notebook paper of the TRECVID 2017 Workshop, 2017 | 38 | 2017 |
| Speaker invariant feature extraction for zero-resource languages with adversarial training T Tsuchiya, N Tawara, T Kobayashi, T Ogawa Proc. 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 36 | 2018 |
| Uncertainty estimation of DNN classifiers SH Mallidi, T Ogawa, H Hermansky 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 34 | 2015 |
| Autoencoder based multi-stream combination for noise robust speech recognition S. H. Mallidi, T. Ogawa, K. Vesely, P. S. Nidadavolu, H. Hermansky INTERSPEECH2015, 3551-3555, 2015 | 28* | 2015 |
| Frame-level phoneme-invariant speaker embedding for text-independent speaker recognition on extremely short utterances N Tawara, A Ogawa, T Iwata, M Delcroix, T Ogawa ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 27 | 2020 |
| 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 | 21 | 2022 |
| Visual explanation of neural network based rotation machinery anomaly detection system M Saeki, J Ogata, M Murakawa, T Ogawa 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 21 | 2019 |
| 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 Proc. The 2022 Conference on Empirical Methods in Natural Language …, 2022 | 20 | 2022 |
| Sound source separation using null-beamforming and spectral subtraction for mobile devices S Takada, S Kanba, T Ogawa, K Akagiri, Tetsunori Kobayashi Proc. 2007 IEEE Workshop on Applications of Signal Processing to Audio and …, 2007 | 16 | 2007 |
| SIA-GAN: Scrambling inversion attack using generative adversarial network K Madono, M Tanaka, M Onishi, T Ogawa IEEE Access 9, 129385-129393, 2021 | 15 | 2021 |
Tetsunori KobayashiProfessor, Waseda UniversityVerified email at waseda.jp
