most citedAn Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era

83 citations · 88 across the 4 of their papers we have counts for

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cs.CV2022★ 2 cited

Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?

Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller +3

Recognising continuous emotions and action unit (AU) intensities from face videos requires a spatial and temporal understanding of expression dynamics. Existing works primarily rel…

cs.CV2022★ 3 cited

COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition

Mani Kumar Tellamekala, Shahin Amiriparian, Björn W. Schuller +3

Automatically recognising apparent emotions from face and voice is hard, in part because of various sources of uncertainty, including in the input data and the labels used in a mac…