View, browse and sort the ever-growing list of sessions by day, pass type, topic, and format. With this Session Viewer, you can view GDC 2023 session details and speakers, and share your favorites via social media. You will be able to build your schedule and access it during the show via export or Mobile App, once live. Sessions do fill up and seating is first come, first serve, so arrive early to sessions that you would like to attend.
Haitong Zhang received a Master's degree in Speech and Language Processing from the University of Edinburgh in 2017. In 2019, he joined Netease Games AI Lab as a Senior AI researcher. He has a broad academic interest, including speech processing and speech synthesis. He is continuously contributing to the international speech community by publishing papers at the top peer-review conferences. Selected Peer-review publications: 1. Zhang, H., & Lin, Y. (2020). Unsupervised Learning for Sequence-to-Sequence Text-to-Speech for Low-Resource Languages}}. Proc. Interspeech 2020, 3161-3165. 2. Zhan, H., Zhang, H., Ou, W., & Lin, Y. (2021). Improve Cross-Lingual Text-To-Speech Synthesis on Monolingual Corpora with Pitch Contour Information. In Interspeech (pp. 1599-1603). 3. Zhang, H., & Lin, Y. (2022, May). Improve few-shot voice cloning using multi-modal learning. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8317-8321). IEEE. 4. Xiao, R., Zhang, H., & Lin, Y. (2022, May). DGC-vector: A new speaker embedding for zero-shot voice conversion. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6547-6551). IEEE.