Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features

@article{Tian2016RecognizingEI,
  title={Recognizing emotions in spoken dialogue with hierarchically fused acoustic and lexical features},
  author={Leimin Tian and Johanna D. Moore and Catherine Lai},
  journal={2016 IEEE Spoken Language Technology Workshop (SLT)},
  year={2016},
  pages={565-572}
}
Automatic emotion recognition is vital for building natural and engaging human-computer interaction systems. Combining information from multiple modalities typically improves emotion recognition performance. In previous work, features from different modalities have generally been fused at the same level with two types of fusion strategies: Feature-Level fusion, which concatenates feature sets before recognition; and Decision-Level fusion, which makes the final decision based on outputs of the… CONTINUE READING

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