LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition

@inproceedings{Kaya2018LSTMBC,
  title={LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition},
  author={Heysem Kaya and Dmitrii Fedotov and Ali Yesilkanat and Oxana Verkholyak and Yang Zhang and Alexey Karpov},
  booktitle={INTERSPEECH},
  year={2018}
}
Acoustic emotion recognition is a popular and central research direction in paralinguistic analysis, due its relation to a wide range of affective states/traits and manifold applications. Developing highly generalizable models still remains as a challenge for researchers and engineers, because of multitude of nuisance factors. To assert generalization, deployed models need to handle spontaneous speech recorded under different acoustic conditions compared to the training set. This requires that… 

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