Thesis-EmotionRecognition

Example codes for some of my PhD work on recognizing dimensional emotions, including a little demo

These are mostly unimodal emotion recognition models. For multimodal emotion recognition with different modality fusion strategies see ACL2018-MultimodalMultitaskSentimentAnalysis

Some references:

Disfluency and Non-verbal Vocalisation (DIS-NV) features for emotion recognition in spoken dialogue:

@inproceedings{moore2014word,
  title={Word-Level Emotion Recognition Using High-Level Features},
  author={Moore, Johanna and Tian, Leimin and Lai, Catherine},
  booktitle={Computational Linguistics and Intelligent Text Processing},
  pages={17--31},
  year={2014},
  publisher={Springer}
}

Differences between spontaneous and acted dialogue:

@inproceedings{tian2015emotion,
  title={Emotion recognition in spontaneous and acted dialogues},
  author={Tian, Leimin and Moore, Johanna D and Lai, Catherine},
  booktitle={Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction},
  pages={698--704},
  year={2015},
  organization={IEEE}
}

Application to predicting movie-induced emotions:

@inproceedings{tian2017recognizing,
  title={Recognizing induced emotions of movie audiences: Are induced and perceived emotions the same?},
  author={Tian, Leimin and Muszynski, Michal and Lai, Catherine and Moore, Johanna D and Kostoulas, Theodoros and Lombardo, Patrizia and Pun, Thierry and Chanel, Guillaume},
  booktitle={Proceedings of 7th International Conference on Affective Computing and Intelligent Interaction},
  year={2017},
  pages={28--35},
  publisher={IEEE},
  address={San Antonio, Texas, USA}
}