A method called STCCL uses learned spatial and temporal correlation metrics between facial regions to supervise expression changes while preserving speech animations without paired training data.
The ryerson audio- visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expres- sions in north american english,
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Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation
A method called STCCL uses learned spatial and temporal correlation metrics between facial regions to supervise expression changes while preserving speech animations without paired training data.