| Adversarial multi-task learning of deep neural networks for robust speech recognition. Y Shinohara Interspeech, 2369-2372, 2016 | 212 | 2016 |
| Facial expression recognition using fisher weight maps Y Shinohara, N Otsu Sixth IEEE International Conference on Automatic Face and Gesture …, 2004 | 195 | 2004 |
| A Submodular Optimization Approach to Sentence Set Selection Y Shinohara IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2014 | 41 | 2014 |
| A study of transducer based end-to-end ASR with ESPnet: Architecture, auxiliary loss and decoding strategies F Boyer, Y Shinohara, T Ishii, H Inaguma, S Watanabe 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 16-23, 2021 | 34 | 2021 |
| Large context end-to-end automatic speech recognition via extension of hierarchical recurrent encoder-decoder models R Masumura, T Tanaka, T Moriya, Y Shinohara, T Oba, Y Aono ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 33 | 2019 |
| Self-Distillation for Improving CTC-Transformer-Based ASR Systems. T Moriya, T Ochiai, S Karita, H Sato, T Tanaka, T Ashihara, R Masumura, ... INTERSPEECH, 546-550, 2020 | 24 | 2020 |
| Sequence-level consistency training for semi-supervised end-to-end automatic speech recognition R Masumura, M Ihori, A Takashima, T Moriya, A Ando, Y Shinohara ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 22 | 2020 |
| Adversarial training for multi-task and multi-lingual joint modeling of utterance intent classification R Masumura, Y Shinohara, R Higashinaka, Y Aono Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 22 | 2018 |
| Covariance clustering on Riemannian manifolds for acoustic model compression Y Shinohara, T Masuko, M Akamine 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 20 | 2010 |
| Bayesian feature enhancement using a mixture of unscented transformation for uncertainty decoding of noisy speech Y Shinohara, M Akamine 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 19 | 2009 |
| Distilling attention weights for CTC-based ASR systems T Moriya, H Sato, T Tanaka, T Ashihara, R Masumura, Y Shinohara ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 14 | 2020 |
| A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis. N Nomoto, Y Shinohara, T Shiraki, T Kobayashi, N Otsu MVA, 265-268, 2005 | 14 | 2005 |
| Encoder Transfer for Attention-based Acoustic-to-word Speech Recognition. S Ueno, T Moriya, M Mimura, S Sakai, Y Shinohara, Y Yamaguchi, ... INTERSPEECH, 2424-2428, 2018 | 13 | 2018 |
| Neural Whispered Speech Detection with Imbalanced Learning. T Ashihara, Y Shinohara, H Sato, T Moriya, K Matsui, T Fukutomi, ... INTERSPEECH, 3352-3356, 2019 | 11 | 2019 |
| Progressive neural network-based knowledge transfer in acoustic models T Moriya, R Masumura, T Asami, Y Shinohara, M Delcroix, Y Yamaguchi, ... 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 11 | 2018 |
| SimpleFlat: A simple whole-network pre-training approach for RNN transducer-based end-to-end speech recognition T Moriya, T Ashihara, T Tanaka, T Ochiai, H Sato, A Ando, Y Ijima, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
| Multi-task Learning with Augmentation Strategy for Acoustic-to-word Attention-based Encoder-decoder Speech Recognition. T Moriya, S Ueno, Y Shinohara, M Delcroix, Y Yamaguchi, Y Aono INTERSPEECH, 2399-2403, 2018 | 8 | 2018 |
| Minimum latency training of sequence transducers for streaming end-to-end speech recognition Y Shinohara, S Watanabe arXiv preprint arXiv:2211.02333, 2022 | 6 | 2022 |
| Apparatus and method for recognizing a speech Y Shinohara, M Akamine US Patent App. 12/555,038, 2010 | 5 | 2010 |
| Efficient building strategy with knowledge distillation for small-footprint acoustic models T Moriya, H Kanagawa, K Matsui, T Fukutomi, Y Shinohara, Y Yamaguchi, ... 2018 IEEE Spoken Language Technology Workshop (SLT), 21-28, 2018 | 4 | 2018 |
