Abstract
Emotion Recognition in Conversation (ERC) has become one of the most explored topics in Speech Technology. Unlike Emotion Recognition in a single utterance, context plays an important role in Emotion Recognition in Conversation. In literature complex architectures are proposed for ERC which makes the developement of real-time applications difficult. In this paper, we propose a simple architecture called Varta Rasa (in Sanskrit, Varta means conversation and Rasa means emotions) for ERC, which is a stacked ensemble model. Extensive experiments on the IEMOCAP dataset generated results comparable to state-of-the-art models while providing significantly lower complexity.
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Parida, R. et al. (2023). Varta Rasa - A Simple and Accurate System for Emotion Recognition in Conversations. In: Molla, A.R., Sharma, G., Kumar, P., Rawat, S. (eds) Distributed Computing and Intelligent Technology. ICDCIT 2023. Lecture Notes in Computer Science, vol 13776. Springer, Cham. https://doi.org/10.1007/978-3-031-24848-1_23
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DOI: https://doi.org/10.1007/978-3-031-24848-1_23
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