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Deep-Learning-Based Audio-Visual Speech Enhancement and Separation
Thanks for the great paper!
There is another useful small audio-visual dataset CREMA-D , which has various emotion tones corresponding to speaker facial expressions.
Cao H, Cooper D G, Keutmann M K, et al. Crema-d: Crowd-sourced emotional multimodal actors dataset[J]. IEEE transactions on affective computing, 2014, 5(4): 377-390.
Thank you very much for the super nice review paper!
It seems the following paper is not included.
LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading
https://www.isca-speech.org/archive/Interspeech_2019/abstracts/1393.html
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