Speech Emotion Recognition Using Multi-hop Attention Mechanism

international conference on acoustics speech and signal processing, 2019.

Cited by: 13|Bibtex|Views10|DOI:https://doi.org/10.1109/icassp.2019.8683483
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Other Links: academic.microsoft.com|dblp.uni-trier.de|arxiv.org

Abstract:

In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information from audio and text independently using two deep neural networks (DNNs). The outputs from both the DNNs are then fused for classification. As opposed to using kno...More

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