Web: http://arxiv.org/abs/2110.03299

June 16, 2022, 1:11 a.m. | Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann

cs.LG updates on arXiv.org arxiv.org

Emotions are subjective constructs. Recent end-to-end speech emotion
recognition systems are typically agnostic to the subjective nature of
emotions, despite their state-of-the-art performance. In this work, we
introduce an end-to-end Bayesian neural network architecture to capture the
inherent subjectivity in the arousal dimension of emotional expressions. To the
best of our knowledge, this work is the first to use Bayesian neural networks
for speech emotion recognition. At training, the network learns a distribution
of weights to capture the inherent uncertainty …

arxiv bayesian modeling networks neural neural networks speech uncertainty

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