A hierarchical framework for modeling multimodality and emotional evolution in affective dialogs

@article{Metallinou2012AHF,
  title={A hierarchical framework for modeling multimodality and emotional evolution in affective dialogs},
  author={Angeliki Metallinou and Athanasios Katsamanis and Shrikanth Narayanan},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2012},
  pages={2401-2404}
}
Incorporating multimodal information and temporal context from speakers during an emotional dialog can contribute to improving performance of automatic emotion recognition systems. Motivated by these issues, we propose a hierarchical framework which models emotional evolution within and between emotional utterances, i.e., at the utterance and dialog level respectively. Our approach can incorporate a variety of generative or discriminative classifiers at each level and provides flexibility and… CONTINUE READING
Highly Cited
This paper has 30 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 20 extracted citations

Effective Attention Mechanism in Dynamic Models for Speech Emotion Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2018
View 5 Excerpts
Highly Influenced

Multiple users' emotion recognition: Improving performance by joint modeling of affective reactions

2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII) • 2017
View 1 Excerpt

Modeling mutual influence of multimodal behavior in affective dyadic interactions

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2015
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Emotion Recognition from Facial Expressions using Multilevel HMM (

Prashant Lahane, Shrutika Lokannavar, Apurva Gangurde, P. N. Bhosale, Pooja Chidre
2014
View 1 Excerpt

Estimation of ordinal approach-avoidance labels in dyadic interactions: Ordinal logistic regression approach

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2011
View 3 Excerpts

Visual emotion recognition using compact facial representations and viseme information

2010 IEEE International Conference on Acoustics, Speech and Signal Processing • 2010
View 2 Excerpts

Multimodal Emotion Recognition, Handbook of Pat

T. S. Huang N. Sebe, I. Cohen
Rec. and Comp. Vision, World Scientific, • 2005
View 2 Excerpts

Probabilistic Assessment of User's Emotions in Educational Games

Applied Artificial Intelligence • 2002
View 3 Excerpts

Similar Papers

Loading similar papers…