| Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning. Y Li, T Zhao, T Kawahara Interspeech, 2803-2807, 2019 | 215 | 2019 |
| Talking with ERICA, an autonomous android K Inoue, P Milhorat, D Lala, T Zhao, T Kawahara Proceedings of the 17th Annual Meeting of the Special Interest Group on …, 2016 | 89 | 2016 |
| Designing precise and robust dialogue response evaluators T Zhao, D Lala, T Kawahara arXiv preprint arXiv:2004.04908, 2020 | 59 | 2020 |
| A conversational dialogue manager for the humanoid robot ERICA P Milhorat, D Lala, K Inoue, T Zhao, M Ishida, K Takanashi, S Nakamura, ... Advanced Social Interaction with Agents: 8th International Workshop on …, 2019 | 38 | 2019 |
| Joint dialog act segmentation and recognition in human conversations using attention to dialog context T Zhao, T Kawahara Computer Speech & Language 57, 108-127, 2019 | 21 | 2019 |
| End-to-end text-to-speech based on latent representation of speaking styles using spontaneous dialogue K Mitsui, T Zhao, K Sawada, Y Hono, Y Nankaku, K Tokuda arXiv preprint arXiv:2206.12040, 2022 | 20 | 2022 |
| Attention-based multimodal fusion for estimating human emotion in real-world HRI Y Li, T Zhao, X Shen Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 15 | 2020 |
| Interactional and pragmatics-related prosodic patterns in Mandarin dialog NG Ward, Y Li, T Zhao, T Kawahara Speech prosody, 2016 | 13 | 2016 |
| An integration of pre-trained speech and language models for end-to-end speech recognition Y Hono, K Mitsuda, T Zhao, K Mitsui, T Wakatsuki, K Sawada arXiv preprint arXiv:2312.03668, 2023 | 12 | 2023 |
| End-to-end speech-to-dialog-act recognition VT Dang, T Zhao, S Ueno, H Inaguma, T Kawahara arXiv preprint arXiv:2004.11419, 2020 | 12 | 2020 |
| Joint Learning of Dialog Act Segmentation and Recognition in Spoken Dialog Using Neural Networks T Zhao, T Kawahara Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 11 | 2017 |
| Multi-referenced training for dialogue response generation T Zhao, T Kawahara arXiv preprint arXiv:2009.07117, 2020 | 10 | 2020 |
| Effective incorporation of speaker information in utterance encoding in dialog T Zhao, T Kawahara arXiv preprint arXiv:1907.05599, 2019 | 9 | 2019 |
| Release of pre-trained models for the Japanese language K Sawada, T Zhao, M Shing, K Mitsui, A Kaga, Y Hono, T Wakatsuki, ... arXiv preprint arXiv:2404.01657, 2024 | 8 | 2024 |
| 日本語自然言語処理における事前学習モデルの公開 趙天雨， 沢田慶 人工知能学会研究会資料 言語・音声理解と対話処理研究会 93 回 (2021/11), 169-170, 2021 | 8 | 2021 |
| Multimodal interaction with the autonomous android ERICA D Lala, P Milhorat, K Inoue, T Zhao, T Kawahara Proceedings of the 18th ACM International Conference on Multimodal …, 2016 | 8 | 2016 |
| Topic-relevant response generation using optimal transport for an open-domain dialog system S Zhang, T Zhao, T Kawahara Proceedings of the 28th International Conference on Computational …, 2020 | 7 | 2020 |
| A unified neural architecture for joint dialog act segmentation and recognition in spoken dialog system T Zhao, T Kawahara Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue …, 2018 | 7 | 2018 |
| Release of pre-trained models for Japanese natural language processing T Zhao, K Sawada The Japanese Society for Artificial Intelligence, SIG-SLUD 93, 169-170, 2021 | 6 | 2021 |
| Focused prefix tuning for controllable text generation C Ma, T Zhao, M Shing, K Sawada, M Okumura Journal of Natural Language Processing 31 (1), 250-265, 2024 | 5 | 2024 |
Tatsuya KawaharaProfessor, School of Informatics, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
