Transformer-S2A: Robust and Efficient Speech-to-Animation-Reference-Cited by-同舟云学术

Transformer-S2A: Robust and Efficient Speech-to-Animation

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Chen Liyang¹,Wu Zhiyong¹,Ling Jun²,Li Runnan³,Tan Xu³,Zhao Sheng³

Affiliation:

1. Tsinghua University,Shenzhen International Graduate School,Shenzhen,China

2. Shanghai Jiao Tong University,Shanghai,China

3. Microsoft,China

Publisher

IEEE

Link

Reference19 articles.

5. Attention is all you need;vaswani;Advances in neural information processing systems,2017

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

4. Truedepth Measurements of Facial Expressions: Sensitivity to the Angle Between Camera and Face;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

5. Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04