A multitask approach to continuous five-dimensional affect sensing in natural speech

@article{Eyben2012AMA,
  title={A multitask approach to continuous five-dimensional affect sensing in natural speech},
  author={Florian Eyben and Martin W{\"o}llmer and Bj{\"o}rn W. Schuller},
  journal={TiiS},
  year={2012},
  volume={2},
  pages={6:1-6:29}
}
Automatic affect recognition is important for the ability of future technical systems to interact with us socially in an intelligent way by understanding our current affective state. In recent years there has been a shift in the field of affect recognition from “in the lab” experiments with acted data to “in the wild” experiments with spontaneous and naturalistic data. Two major issues thereby are the proper segmentation of the input and adequate description and modeling of affective states… CONTINUE READING
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