Issued Patents 2023
Showing 1–9 of 9 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 11803618 | N-best softmax smoothing for minimum bayes risk training of attention based sequence-to-sequence models | Chao Weng, Jia Cui, Guangsen Wang, Jun Wang, Chengzhu Yu +1 more | 2023-10-31 |
| 11776556 | Unified deep neural network model for acoustic echo cancellation and residual echo suppression | Meng Yu | 2023-10-03 |
| 11721318 | Singing voice conversion | Chengzhu Yu, Heng Lu, Chao Weng | 2023-08-08 |
| 11688412 | Multi-modal framework for multi-channel target speech separation | Shi-Xiong Zhang, Yong Xu, Meng Yu | 2023-06-27 |
| 11682379 | Learnable speed control of speech synthesis | Chengzhu Yu | 2023-06-20 |
| 11670283 | Duration informed attention network (DURIAN) for audio-visual synthesis | Heng Lu, Chengzhu Yu | 2023-06-06 |
| 11636848 | Token-wise training for attention based end-to-end speech recognition | Peidong Wang, Jia Cui, Chao Weng | 2023-04-25 |
| 11610060 | Automatic lexical sememe prediction system using lexical dictionaries | Kun Xu, Chao Weng, Chengzhu Yu | 2023-03-21 |
| 11551136 | N-best softmax smoothing for minimum bayes risk training of attention based sequence-to-sequence models | Chao Weng, Jia Cui, Guangsen Wang, Jun Wang, Chengzhu Yu +1 more | 2023-01-10 |