Training separate facial animation networks for each emotion category reduces shape prediction error and improves perceived quality over a single emotion-blind model on the SAVEE dataset.
Speech-driven 3d facial animation with implicit emotional awareness: A deep learning approach
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Emotion Dependent Facial Animation from Affective Speech
Training separate facial animation networks for each emotion category reduces shape prediction error and improves perceived quality over a single emotion-blind model on the SAVEE dataset.