A convolutional network to align and predict emotion annotations

Machine learning models that can recognize and predict human emotions have become increasingly popular over the past few years. In order for most of these techniques to perform well, however, the data used to train them is first annotated by human subjects. Moreover, emotions continuously change over time, which makes the annotation of videos or voice recordings particularly challenging, often resulting in discrepancies between labels and recordings.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2O861Nt

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